LGSSEE_Webex_Classifier.ipynb

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      "source": [
        "import pandas as pd\n",
        "\n",
        "data = pd.read_csv('/content/webex_consolidated.csv')\n",
        "data"
      ],
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              "                                   Feature Description  Month\n",
              "0    Hosts or cohosts are easily able to identify a...      1\n",
              "1    As a host, you can customize the templates you...      1\n",
              "2    This feature includes the following administra...      1\n",
              "3    As part of our drive to provide you with secur...      1\n",
              "4    Webex remembers your closed captioning selecti...      1\n",
              "..                                                 ...    ...\n",
              "163  Mobile users can now either show or hide their...     12\n",
              "164  The Webex Meetings app for iPhone and iPad is ...     12\n",
              "165  Webinar hosts, cohosts, and panelists can now ...     12\n",
              "166  IT administrators can restrict their company d...     12\n",
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              "\n",
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              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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      "cell_type": "code",
      "source": [
        "def label_df(df, month:int):\n",
        "  data = df\n",
        "  data['Label'] = (data['Month'] >= month).astype(int)\n",
        "  return data"
      ],
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        "\n",
        "\n",
        "```\n",
        "# This is formatted as code\n",
        "```\n",
        "\n",
        "# Add labels to dataframe"
      ],
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        "id": "aBUhvFA2hXbe"
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      "source": [
        "# Using cutoff month to be June (7)\n",
        "# So months < 7 are 'old' -> class 0\n",
        "# And months >= 7 are 'new' -> class 1\n",
        "\n",
        "# this line creates a new column called 'Label'\n",
        "# the value for each row is determined by comparing that row's 'Month' value with 7 (as the cut-off)\n",
        "#print(data.columns.tolist())\n",
        "data['Label'] = (data['Month'] >= 7).astype(int)\n",
        "data"
      ],
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          "base_uri": "https://localhost:8080/",
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      "execution_count": null,
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              "                                   Feature Description  Month  Label\n",
              "0    Hosts or cohosts are easily able to identify a...      1      0\n",
              "1    As a host, you can customize the templates you...      1      0\n",
              "2    This feature includes the following administra...      1      0\n",
              "3    As part of our drive to provide you with secur...      1      0\n",
              "4    Webex remembers your closed captioning selecti...      1      0\n",
              "..                                                 ...    ...    ...\n",
              "163  Mobile users can now either show or hide their...     12      1\n",
              "164  The Webex Meetings app for iPhone and iPad is ...     12      1\n",
              "165  Webinar hosts, cohosts, and panelists can now ...     12      1\n",
              "166  IT administrators can restrict their company d...     12      1\n",
              "167  You can now update the site management from Si...     12      1\n",
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        "old_rows = data[data['Label']==0]\n",
        "old_rows"
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      "outputs": [
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              "                                  Feature Description  Month  Label\n",
              "0   Hosts or cohosts are easily able to identify a...      1      0\n",
              "1   As a host, you can customize the templates you...      1      0\n",
              "2   This feature includes the following administra...      1      0\n",
              "3   As part of our drive to provide you with secur...      1      0\n",
              "4   Webex remembers your closed captioning selecti...      1      0\n",
              "..                                                ...    ...    ...\n",
              "80  To ensure you have a good support experience w...      6      0\n",
              "81  You can now scale the Share content window to ...      6      0\n",
              "82  Mobile users can now view their network qualit...      6      0\n",
              "83  IT administrators can now enable the embedded ...      6      0\n",
              "84  Participants connecting to a meeting hosted by...      6      0\n",
              "\n",
              "[85 rows x 3 columns]"
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              "      <th>2</th>\n",
              "      <td>This feature includes the following administra...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>As part of our drive to provide you with secur...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Webex remembers your closed captioning selecti...</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>To ensure you have a good support experience w...</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>81</th>\n",
              "      <td>You can now scale the Share content window to ...</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>Mobile users can now view their network qualit...</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>IT administrators can now enable the embedded ...</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>Participants connecting to a meeting hosted by...</td>\n",
              "      <td>6</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>85 rows × 3 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7e6c766b-33c0-4dd8-a800-f176c772f028')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
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              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7e6c766b-33c0-4dd8-a800-f176c772f028 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7e6c766b-33c0-4dd8-a800-f176c772f028');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "new_rows = data[data['Label']==1]\n",
        "new_rows"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 424
        },
        "id": "nhpytVxNiCaB",
        "outputId": "200feaa7-5869-44e9-d74e-4713aa1ce4d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                   Feature Description  Month  Label\n",
              "85   Webex Meetings users can view their upcoming m...      7      1\n",
              "86   With Windows 11, Webex Meetings now allows you...      7      1\n",
              "87   Users on on-premises registered video devices ...      7      1\n",
              "88   The host can upload a music file in the schedu...      7      1\n",
              "89   In the desktop app for Meetings and Webinars, ...      7      1\n",
              "..                                                 ...    ...    ...\n",
              "163  Mobile users can now either show or hide their...     12      1\n",
              "164  The Webex Meetings app for iPhone and iPad is ...     12      1\n",
              "165  Webinar hosts, cohosts, and panelists can now ...     12      1\n",
              "166  IT administrators can restrict their company d...     12      1\n",
              "167  You can now update the site management from Si...     12      1\n",
              "\n",
              "[83 rows x 3 columns]"
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              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
              "    .dataframe thead th {\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Feature Description</th>\n",
              "      <th>Month</th>\n",
              "      <th>Label</th>\n",
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              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>Webex Meetings users can view their upcoming m...</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>With Windows 11, Webex Meetings now allows you...</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>Users on on-premises registered video devices ...</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>The host can upload a music file in the schedu...</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>89</th>\n",
              "      <td>In the desktop app for Meetings and Webinars, ...</td>\n",
              "      <td>7</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>163</th>\n",
              "      <td>Mobile users can now either show or hide their...</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>164</th>\n",
              "      <td>The Webex Meetings app for iPhone and iPad is ...</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>165</th>\n",
              "      <td>Webinar hosts, cohosts, and panelists can now ...</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>166</th>\n",
              "      <td>IT administrators can restrict their company d...</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>167</th>\n",
              "      <td>You can now update the site management from Si...</td>\n",
              "      <td>12</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>83 rows × 3 columns</p>\n",
              "</div>\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-53093a16-50a7-4b71-bf0a-15134101a8a5 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-53093a16-50a7-4b71-bf0a-15134101a8a5');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# histogram of count of 0s and count of 1s\n",
        "data['Label'].hist(grid=False, bins=3)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 282
        },
        "id": "ONz9UOMViE8F",
        "outputId": "24689f73-536a-48d2-deae-68bf2dc7da41"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<AxesSubplot:>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Use Bag-of_Words to vectorize the text data\n"
      ],
      "metadata": {
        "id": "rCPNfQ_yiOyH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# using scikit-learn's CountVectorizer for Bag-of-Words embedding\n",
        "from sklearn.feature_extraction.text import CountVectorizer\n",
        "\n",
        "# initialize the vectorizer object\n",
        "vectorizer = CountVectorizer()\n",
        "\n",
        "# fit our bag-of-words vector from the 'Feature Description' column in the dataframe\n",
        "bag = vectorizer.fit_transform(data['Feature Description'])"
      ],
      "metadata": {
        "id": "2aBGw-YgiIXn"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Explore the data"
      ],
      "metadata": {
        "id": "D3b0fcqjieFt"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Get unique words/tokens found in all the feature descriptions\n",
        "print('Array of unique words: ')\n",
        "print(vectorizer.get_feature_names_out())\n",
        "\n",
        "# Print the numerical text vector after Bag-of-Words embedding\n",
        "print('\\nBag-of-Words embedded text vector: ')\n",
        "print(bag.toarray())\n",
        "\n",
        "# Associate the indices in the text vector with each unique word\n",
        "print('\\nIndices for each unique word in embedded text vector: ')\n",
        "print(vectorizer.vocabulary_)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ubkGJtQxihlB",
        "outputId": "9223eefc-6690-4a9d-f6a1-68228e1ad7d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Array of unique words: \n",
            "['000' '10' '100' ... 'yourselves' 'yous' 'zoom']\n",
            "\n",
            "Bag-of-Words embedded text vector: \n",
            "[[0 0 0 ... 0 0 0]\n",
            " [2 1 0 ... 0 1 0]\n",
            " [0 1 0 ... 0 0 0]\n",
            " ...\n",
            " [0 0 0 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 0]\n",
            " [0 0 0 ... 0 0 0]]\n",
            "\n",
            "Indices for each unique word in embedded text vector: \n",
            "{'hosts': 616, 'or': 909, 'cohosts': 279, 'are': 127, 'easily': 433, 'able': 20, 'to': 1358, 'identify': 627, 'participant': 938, 'joining': 710, 'meeting': 817, 'as': 133, 'internal': 679, 'their': 1335, 'organization': 912, 'external': 498, 'unverified': 1411, 'where': 1483, 'the': 1334, 'user': 1428, 'isn': 698, 'authenticated': 152, 'by': 210, 'webex': 1470, 'and': 89, 'therefore': 1341, 'can': 218, 'be': 170, 'verified': 1442, 'notification': 870, 'of': 884, 'waiting': 1459, 'in': 642, 'lobby': 763, 'is': 697, 'now': 875, 'more': 834, 'prominent': 1033, 'hidden': 602, 'list': 759, 'remove': 1113, 'from': 547, 'they': 1343, 'also': 80, 'select': 1187, 'an': 87, 'entire': 471, 'group': 579, 'admit': 59, 'those': 1348, 'participants': 939, 'host': 613, 'you': 1511, 'customize': 351, 'templates': 1328, 'use': 1426, 'send': 1193, 'following': 533, 'emails': 445, 'panelists': 935, 'attendees': 146, 'invitations': 689, 'reminders': 1110, 'thank': 1332, 'yous': 1514, 'cancellations': 220, 'choose': 252, 'whether': 1484, 'html': 621, 'plain': 969, 'text': 1330, 'for': 536, 'your': 1512, 'email': 444, 'format': 539, 'even': 476, 'save': 1159, 'template': 1327, 'library': 748, 'future': 555, 'schedule': 1165, 'but': 207, 'only': 895, 'enable': 450, 'two': 1393, 'additional': 45, 'webinars': 1475, 'with': 1496, 'up': 1412, '10': 1, '000': 0, 'disabled': 394, '25': 9, 'when': 1482, 'webinar': 1474, 'see': 1184, 'separate': 1196, 'tabs': 1314, 'making': 789, 'it': 701, 'easy': 434, 'copy': 330, 'content': 319, 'respective': 1130, 'audience': 148, 'this': 1347, 'feature': 506, 'includes': 645, 'administrator': 56, 'capabilities': 224, 'enabling': 453, 'virtual': 1450, 'background': 162, 'features': 507, 'at': 141, 'level': 745, 'customizing': 353, 'options': 908, 'default': 363, 'backgrounds': 163, 'uploaded': 1419, 'allow': 74, 'users': 1429, 'own': 926, 'images': 632, 'allowing': 76, 'guest': 581, 'cascading': 230, 'each': 429, 'site': 1231, 'control': 323, 'hub': 622, 'overriding': 925, 'configuration': 302, 'uploading': 1420, 'maximum': 810, 'approved': 122, 'flexibly': 525, 'configure': 303, 'various': 1437, 'scenarios': 1164, 'on': 891, 'different': 390, 'sites': 1232, 'services': 1201, 'such': 1295, 'meetings': 818, 'calling': 215, 'messaging': 822, 'app': 108, 'according': 29, 'part': 937, 'our': 920, 'drive': 417, 'provide': 1037, 'secure': 1182, 'we': 1466, 're': 1059, 'letting': 744, 'know': 722, 'about': 21, 'some': 1246, 'security': 1183, 'improvements': 640, 'that': 1333, 'experience': 492, 'today': 1359, 'anyone': 104, 'personal': 958, 'room': 1151, 'jump': 713, 'into': 684, 'right': 1149, 'away': 160, 'without': 1498, 'having': 592, 'wait': 1458, 'update': 1414, 'guests': 582, 'who': 1489, 'try': 1388, 'join': 708, 'automatically': 156, 'until': 1410, 'them': 1336, 'conjunction': 305, 'these': 1342, 'changes': 240, 'enhance': 465, 'management': 792, 'itself': 704, 'improved': 638, 've': 1439, 'notifications': 871, 'someone': 1247, 'joins': 711, 'so': 1244, 'noticeable': 869, 'if': 629, 'sharing': 1212, 'dynamic': 427, 'people': 951, 'removing': 1116, 'prompt': 1035, 'during': 423, 'flow': 529, 'any': 103, 'attendee': 145, 'hosted': 614, 'free': 545, 'online': 894, 'account': 30, 'holder': 610, 'wouldn': 1507, 'prompted': 1036, 'input': 666, 'unauthenticated': 1399, 'remembers': 1107, 'closed': 271, 'captioning': 227, 'selection': 1190, 'next': 861, 'event': 477, 'behavior': 176, 'replaces': 1120, 'preference': 1005, 'setting': 1205, 'captions': 228, 'removed': 1114, '42': 13, 'change': 238, 'applies': 116, 'have': 591, 'separated': 1197, 'assistant': 139, 'has': 590, 'customer': 347, 'availability': 157, 'government': 574, 'not': 867, 'tooltip': 1370, 'label': 724, 'name': 851, 'duplicated': 421, 'few': 512, 'controls': 326, 'redundant': 1087, 'tooltips': 1371, 'simultaneous': 1228, 'interpretation': 680, 'manage': 790, 'available': 158, 'languages': 730, 'responsible': 1134, 'managing': 794, 'preassign': 1002, 'interpreters': 682, 'add': 41, 'new': 860, 'language': 729, 'channels': 243, 'meet': 816, 'needs': 858, 'limitation': 753, 'turned': 1391, 'practice': 1000, 'sessions': 1203, 'started': 1268, 'will': 1493, 'addressed': 47, 'while': 1486, 'viewing': 1449, 'recordings': 1080, 'skip': 1235, 'ahead': 67, 'move': 838, 'backwards': 164, 'using': 1431, 'rewind': 1147, 'forward': 540, 'buttons': 209, 'help': 598, 'second': 1177, 'increments': 651, 'similar': 1223, 'desktop': 377, 'option': 906, 'noise': 863, 'choosing': 254, 'computer': 298, 'audio': 149, 'web': 1467, 'helping': 599, 'voice': 1454, 'sound': 1251, 'clear': 265, 'filtering': 519, 'out': 921, 'surroundings': 1305, 'sometimes': 1248, 'network': 859, 'firewall': 522, 'settings': 1206, 'may': 811, 'block': 185, 'access': 25, 'depending': 371, 'port': 989, 'off': 885, 'contact': 315, 'service': 1200, 'manager': 793, 'pop': 987, 'panels': 936, 'window': 1494, 'browser': 199, 'makes': 788, 'float': 526, 'multiple': 844, 'scale': 1162, 'closer': 272, 'look': 776, 'another': 99, 'monitor': 832, 'click': 266, 'icon': 625, 'panel': 933, 'its': 703, 'once': 892, 'floating': 527, 'back': 161, 'time': 1353, 'snaps': 1243, 'place': 967, 'close': 270, 'reopen': 1118, 'administrators': 57, 'provided': 1038, 'button': 208, 'all': 73, 'remote': 1111, 'outside': 923, 'company': 293, 'application': 113, 'blocked': 186, 'trying': 1389, 'initiate': 664, 'message': 820, 'instead': 672, 'applicable': 112, 'mobile': 827, 'ios': 694, 'windows': 1495, 'mac': 780, 'apps': 124, 'webhooks': 1473, 'great': 576, 'way': 1465, 'customers': 348, 'execute': 485, 'specific': 1259, 'business': 206, 'logic': 771, 'based': 168, 'status': 1274, 'received': 1073, 'providing': 1040, 'ability': 19, 'receive': 1072, 'webhook': 1472, 'transcripts': 1381, 'ready': 1066, 'helps': 600, 'satisfy': 1158, 'cases': 232, 'sending': 1194, 'inform': 661, 'transcription': 1380, 'readiness': 1065, 'animated': 91, 'starting': 1269, 'upload': 1418, 'materials': 805, 'microsoft': 824, 'powerpoint': 999, 'presentations': 1011, 'pdf': 948, 'word': 1500, 'documents': 404, 'jpg': 712, 'png': 979, 'files': 517, 'information': 662, 'page': 930, 'download': 414, 'material': 804, 'addition': 44, 'polls': 986, 'slido': 1238, 'start': 1267, 'polling': 985, 'engage': 461, 'pre': 1001, 'questions': 1052, 'create': 337, 'file': 516, 'atp': 142, 'quickly': 1054, 'previously': 1018, 'saved': 1160, 'supports': 1300, 'pip': 966, 'picture': 963, 'ipad': 695, 'support': 1297, 'shrinks': 1217, 'whole': 1490, 'small': 1240, 'rectangular': 1081, 'appears': 110, 'over': 924, 'home': 612, 'screen': 1170, 'other': 917, 'example': 481, 'browse': 198, 'watching': 1464, 'done': 411, 'positioned': 995, 'one': 893, 'corner': 331, 'vdi': 1438, 'extend': 496, 'video': 1446, 'ports': 992, '3x3': 12, '5x5': 15, 'grid': 578, 'view': 1448, 'mode': 829, 'registry': 1098, 'key': 718, 'value': 1434, 'hvd': 623, 'thin': 1344, 'client': 268, 'path': 946, 'hkey_local_machine': 608, 'software': 1245, 'policies': 980, 'ciscowebex': 260, 'webexvdiunlimitvideoportpolicy': 1471, 'type': 1394, 'dword': 425, 'registration': 1096, 'form': 538, 'registrant': 1094, 'number': 876, 'id': 626, 'approval': 120, 'rules': 1154, 'after': 64, 'registered': 1092, '50': 14, '100': 2, 'license': 749, 'plans': 970, 'accept': 24, 'than': 1331, 'current': 344, 'allows': 77, '20': 8, 'percent': 953, 'numbers': 877, '12': 6, 'registrations': 1097, 'remain': 1106, 'same': 1157, 'wants': 1461, 'embedded': 446, 'open': 896, 'find': 521, 'top': 1372, 'was': 1463, 'menu': 819, 'keep': 716, 'track': 1374, 'shared': 1211, 'timer': 1354, 'interact': 676, 'countdown': 334, 'team': 1325, 'collaboration': 282, 'activities': 37, 'things': 1345, 'stay': 1275, 'launch': 737, 'set': 1204, 'share': 1210, 'pause': 947, 'google': 573, 'workspace': 1505, 'toggle': 1361, 'between': 183, 'links': 758, 'directly': 392, 'used': 1427, 'chooses': 253, 'conferencing': 300, 'english': 464, 'supported': 1299, '13': 7, 'spoken': 1262, 'including': 646, 'existing': 488, 'chinese': 250, 'mandarin': 795, 'simplified': 1226, 'traditional': 1375, 'dutch': 424, 'french': 546, 'german': 560, 'hindi': 607, 'italian': 702, 'japanese': 706, 'korean': 723, 'polish': 982, 'portuguese': 993, 'spanish': 1254, 'real': 1067, 'translation': 1385, 'sku': 1236, 'translated': 1384, 'communicate': 290, 'effective': 440, 'inclusive': 647, 'accessible': 26, 'engaging': 463, 'across': 34, 'globe': 567, 'moving': 841, 'raise': 1055, 'hand': 585, 'reactions': 1062, 'bar': 167, 'easier': 432, 'faster': 505, 'self': 1191, 'turn': 1390, 'gives': 565, 'estate': 475, 'focus': 531, 'sync': 1310, 'exact': 480, 'layout': 738, 'stage': 1264, 'cohost': 278, 'adjusted': 51, 'size': 1233, 'then': 1338, 'selected': 1188, 'my': 850, 'synced': 1311, 'sizes': 1234, 'were': 1480, 'webcast': 1468, 'stops': 1282, 'continue': 320, 'displayed': 399, 'annotate': 92, 'presenter': 1012, 'enabled': 451, 'names': 852, 'private': 1022, 'scheduler': 1167, 'assigns': 138, 'anonymous': 98, 'display': 398, 'intended': 675, 'privacy': 1021, 'anonymity': 96, 'required': 1126, 'holding': 611, 'competing': 294, 'vendors': 1440, 'groups': 580, 'consultations': 314, 'request': 1123, 'beta': 181, 'limitations': 754, 'devices': 383, 'don': 410, 'anonymized': 97, 'device': 382, 'calendar': 212, 'tool': 1367, 'doesn': 406, 'invitee': 692, 'detail': 378, 'currently': 345, 'invitees': 693, 'case': 231, 'missed': 826, 'updates': 1416, 'came': 216, 'december': 358, 'owners': 929, 'filter': 518, 'events': 478, 'clicking': 267, 'sidebar': 1219, 'under': 1401, 'january': 705, 'added': 42, 'administration': 54, 'necessarily': 855, 'invite': 690, 'collaborators': 283, 'beforehand': 175, 'com': 286, 'profanity': 1029, 'been': 172, 'announced': 95, 'earlier': 430, 'cloud': 275, 'poll': 984, 'speaker': 1255, 'labels': 726, 'box': 193, 'further': 554, 'live': 761, 'transcript': 1379, 'readability': 1064, 'feed': 508, 'updated': 1415, 'lines': 756, 'final': 520, 'utterances': 1432, 'shown': 1215, 'font': 535, 'previous': 1017, 'push': 1044, 'script': 1172, 'excited': 483, 'introduce': 685, 'maximizes': 809, 'space': 1253, 'artificial': 132, 'intelligence': 674, 'dynamically': 428, 'crop': 340, 'videos': 1447, 'individual': 658, 'rather': 1057, 'll': 762, 'get': 561, 'better': 182, 'face': 500, 'feel': 510, 'connected': 306, 'regardless': 1090, 'how': 619, 'front': 548, 'camera': 217, 'give': 564, 'activity': 38, 'report': 1121, 'chat': 246, 'completed': 295, 'recorded': 1078, 'schedules': 1168, 'breakout': 194, 'preassigned': 1003, 'link': 757, 'session': 1202, '1000': 3, 'noises': 864, 'voices': 1455, 'picked': 962, 'microphone': 823, 'farther': 503, 'amplified': 86, 'like': 752, 'much': 843, 'optimize': 904, 'prioritize': 1020, 'speech': 1261, 'before': 174, 'doing': 407, 'drop': 418, 'down': 413, 'arrow': 130, 'smart': 1242, 'order': 910, 'clarity': 262, 'deaf': 357, 'hard': 589, 'hearing': 594, 'need': 856, 'labeling': 725, 'within': 1497, 'caption': 226, 'volume': 1457, 'balance': 165, 'shows': 1216, 'interpreter': 681, 'side': 1218, 'left': 742, 'hear': 593, 'higher': 605, 'slide': 1237, 'suppress': 1302, 'talkers': 1319, 'others': 918, 'selecting': 1189, 'prior': 1019, 'accessing': 27, 'section': 1180, 'removal': 1112, 'called': 214, 'make': 786, 'reassigning': 1070, 'owner': 928, 'deleting': 370, 'recording': 1079, 'compliance': 296, 'regulations': 1099, 'notify': 873, 'actions': 35, 'take': 1317, 'older': 890, 'retention': 1143, 'period': 955, 'moved': 839, 'trash': 1386, 'reassigns': 1071, 'moves': 840, 'deletes': 369, 'restores': 1136, 'possible': 996, 'accurately': 32, 'reflect': 1088, 'mute': 847, 'premises': 1009, 'muted': 848, 'unmuted': 1409, 'themselves': 1337, 'wouldnt': 1508, 'show': 1214, 'requests': 1124, 'unmute': 1408, 'there': 1339, 'visual': 1452, 'indications': 656, 'however': 620, 'alway': 82, 'verbally': 1441, 'ask': 134, 'turns': 1392, 'appropriate': 119, 'messages': 821, 'rendered': 1117, 'setup': 1207, 'moderated': 831, 'record': 1077, 'interface': 678, 'dtmf': 419, 'direct': 391, 'indicating': 655, 'lock': 766, 'lower': 778, 'first': 523, 'tap': 1321, 'tapping': 1322, 'again': 65, 'edge': 435, 'locked': 767, 'indicate': 654, 'unlocked': 1407, 'else': 443, 'raises': 1056, 'hands': 586, 'lowered': 779, 'automatic': 155, 'cisco': 259, 'appear': 109, 'playback': 974, 'search': 1175, 'verify': 1443, 'what': 1481, 'said': 1156, 'transcribing': 1378, 'made': 783, 'interacting': 677, 'tools': 1369, 'fade': 502, 'dedicated': 362, 'toolbar': 1368, 'above': 22, 'zoom': 1515, 'annotation': 93, 'blocking': 187, 'being': 178, 'introducing': 687, 'scan': 1163, 'qr': 1047, 'code': 277, 'disrupting': 400, 'disconnecting': 396, 'enter': 469, 'url': 1422, 'address': 46, 'forwarded': 541, 'landing': 728, 'ends': 459, 'survey': 1306, 'sponsors': 1263, 'provides': 1039, 'opportunity': 901, 'engagement': 462, 'going': 571, 'ended': 456, 'apply': 117, 'reasons': 1069, 'domains': 409, 'here': 601, 'work': 1502, 'ensure': 468, 'otherwise': 919, 'error': 473, 'won': 1499, 'sure': 1303, 'urls': 1423, 'containing': 317, 'due': 420, 'considerations': 310, 'domain': 408, 'types': 1396, 'consideration': 309, 'qualtrics': 1050, 'surveymonkey': 1307, 'typeform': 1395, 'go': 568, 'common': 289, 'considered': 311, '3d': 11, 'optimization': 903, 'upon': 1421, 'success': 1294, 'uses': 1430, 'bandwidth': 166, 'reduce': 1085, 'color': 284, 'artifacts': 131, 'high': 604, 'fidelity': 514, 'models': 830, 'increased': 649, 'quality': 1049, 'aid': 69, 'aided': 70, 'design': 374, 'medical': 815, 'imaging': 633, 'reduced': 1086, 'normal': 866, 'levels': 746, 'dialog': 385, 'optimizes': 905, 'applications': 114, 'would': 1506, 'mask': 801, 'areas': 128, 'receiving': 1075, 'sees': 1186, 'masked': 802, 'tab': 1313, 'location': 764, 'relevant': 1105, 'preferences': 1006, 'defaults': 364, 'updating': 1417, 'opened': 898, 'unify': 1404, 'fragmented': 544, 'unified': 1403, 'align': 72, 'offers': 887, 'could': 332, 'entered': 470, 'functional': 551, 'coming': 288, 'march': 799, 'april': 125, 'incoming': 648, 'responses': 1133, 'seamlessly': 1174, 'adding': 43, 'respondents': 1132, 'attached': 143, 'answers': 102, 'decide': 359, 'want': 1460, 'submit': 1291, 'style': 1288, 'cover': 335, 'particularly': 942, 'smaller': 1241, 'styles': 1289, 'rest': 1135, 'portfolio': 991, 'sx': 1309, 'mx': 849, 'dx': 426, 'series': 1199, 'well': 1479, 'streaming': 1284, 'org': 911, 'chrome': 256, 'token': 1363, 'extension': 497, 'both': 191, 'reason': 1068, 'delete': 368, 'leaves': 741, 'should': 1213, 'scheduled': 1166, 'per': 952, 'chats': 247, 'install': 668, 'bot': 190, 'conversation': 327, 'qualities': 1048, 'api': 106, 'pull': 1043, 'detailed': 379, 'troubleshooting': 1387, 'recently': 1076, 'occurred': 882, 'occurring': 883, 'powerful': 998, 'supportability': 1298, 'integration': 673, 'four': 543, 'obtained': 881, 'which': 1485, 'enables': 452, 'ai': 68, 'person': 957, 'cropping': 341, 'board': 189, 'desk': 376, 'cc': 235, 'fewer': 513, 'announce': 94, 'progressive': 1032, 'pwa': 1046, 'chromeos': 258, 'play': 973, 'store': 1283, 'chromebook': 257, 'through': 1350, 'similarly': 1224, 'flexibility': 524, 'goal': 569, 'participate': 940, 'effectively': 441, 'giving': 566, 'latest': 736, 'optimal': 902, 'organizations': 913, 'licenses': 750, 'below': 180, 'large': 731, 'reminder': 1109, 'sent': 1195, 'least': 739, 'hours': 617, 'register': 1091, 'upcoming': 1413, 'title': 1357, 'registering': 1093, 'password': 944, 'since': 1229, 'entry': 472, 'exit': 490, 'beep': 173, 'phone': 960, 'website': 1476, 'undergoing': 1402, 'ui': 1398, 'enhancements': 467, 'scheduling': 1169, 'related': 1102, 'passwords': 945, 'most': 836, 'privileges': 1023, 'agenda': 66, 'main': 785, 'basic': 169, 'advanced': 62, 'music': 845, 'fullband': 550, 'require': 1125, 'encoded': 454, 'operates': 900, 'superwideband': 1296, 'clients': 269, 'takes': 1318, 'pstn': 1042, 'placed': 968, 'immediately': 635, 'asked': 135, 'later': 735, 'do': 403, 'pressing': 1014, 'return': 1145, 'rejoin': 1101, 'closes': 273, 'warned': 1462, 'assigned': 137, 'cannot': 222, 'must': 846, 'version': 1444, 'aren': 129, 'listed': 760, 'tones': 1365, 'inside': 667, 'starts': 1270, 'image': 631, 'come': 287, 'emoji': 447, 'star': 1266, 'restrictions': 1140, 'applied': 115, 'policy': 981, 'permitted': 956, 'too': 1366, 'restriction': 1139, 'toggles': 1362, 'prevent': 1015, 'byod': 211, 'leverages': 747, 'keys': 720, 'tokens': 1364, 'detected': 381, 'held': 597, 'already': 79, 'introduced': 686, 'sign': 1220, 'claimed': 261, 'disable': 393, 'broadcast': 197, 'rooms': 1152, 'notified': 872, 'allowed': 75, 'classic': 263, '81': 18, 'thumbnail': 1351, 'preferred': 1007, 'actual': 39, 'limited': 755, 'resolution': 1129, 'brings': 196, 'simple': 1225, 'registrants': 1095, 'contributors': 322, 'third': 1346, 'party': 943, 'just': 715, 'full': 549, 'good': 572, 'faced': 501, 'issues': 700, 'details': 380, 'dialogs': 386, 'meaningful': 812, 'description': 373, 'run': 1155, 'component': 297, 'contains': 318, 'surrounding': 1304, 'problem': 1025, 'issue': 699, 'logging': 770, 'tac': 1315, 'bigger': 184, 'scroll': 1173, 'indicator': 657, 'center': 236, 'login': 772, 'navigate': 853, 'capability': 225, 'requires': 1127, 'mid': 825, 'june': 714, 'connecting': 307, 'tell': 1326, 'platform': 971, 'iphone': 696, 'apple': 111, 'carplay': 229, 'dashboard': 354, '11': 5, 'task': 1323, 'taskbar': 1324, 'hover': 618, 'presenters': 1013, 'process': 1026, 'needed': 857, 'consolidated': 313, 'statistics': 1273, 'found': 542, 'edit': 436, 'progress': 1031, 'read': 1063, 'rtl': 1153, 'arabic': 126, 'hebrew': 596, 'attendance': 144, 'contain': 316, 'column': 285, 'android': 90, 'mp4': 842, 'gif': 563, 'innovated': 665, 'legacy': 743, 'audit': 150, 'covers': 336, 'managed': 791, 'generated': 559, 'post': 997, 'highlights': 606, 'single': 1230, 'voip': 1456, 'particular': 941, 'whom': 1491, 'dial': 384, 'numeric': 878, 'mandatory': 796, 'enforced': 460, 'configurable': 301, 'avoid': 159, 'times': 1355, 'except': 482, 'fields': 515, 'exclude': 484, 'saving': 1161, 'adjust': 50, 'adjusts': 52, 'match': 803, 'especially': 474, 'classrooms': 264, 'certain': 237, 'present': 1010, 'define': 365, 'questionnaire': 1051, 'submitted': 1292, 'portal': 990, 'improving': 641, 'eye': 499, 'whiteboards': 1488, 'stopped': 1281, 'whiteboard': 1487, 'included': 644, 'yet': 1510, 'custom': 346, 'simply': 1227, 'states': 1271, 'assign': 136, 'speaking': 1257, 'standard': 1265, 'rich': 1148, 'media': 814, 'player': 975, 'training': 1376, 'obsolete': 880, 'invited': 691, 'joined': 709, 'mail': 784, 'cookie': 329, 'pending': 950, 'confusion': 304, 'double': 412, 'submission': 1290, 'promotion': 1034, 'dialogue': 387, 'hide': 603, 'exists': 489, 'becomes': 171, 'active': 36, 'bubble': 201, 'stop': 1280, 'talking': 1320, 'disappears': 395, 'switch': 1308, 'keypad': 719, 'call': 213, 'paired': 932, 'navigating': 854, 'log': 768, 'yourselves': 1513, 'instances': 671, 'refresh': 1089, 'forces': 537, 'instance': 670, 'signed': 1221, 'independently': 653, 'keeping': 717, 'answer': 100, 'customizable': 349, 'officers': 888, 'retrieve': 1144, 'admin': 53, 'endpoint': 458, 'strengthen': 1285, 'answered': 101, 'chosen': 255, 'apis': 107, 'enhanced': 466, 'created': 338, 'community': 292, 'gcc': 556, 'outlook': 922, 'either': 442, 'authorize': 153, 'consent': 308, 'chapters': 245, 'longer': 775, 'duration': 422, 'timestamp': 1356, 'chapter': 244, 'along': 78, 'invitation': 688, 'sources': 1252, 'locations': 765, 'unique': 1405, 'platforms': 972, 'many': 798, 'china': 249, 'data': 355, 'reorder': 1119, 'drag': 415, 'position': 994, 'infinite': 660, 'canvas': 223, 'collaborate': 280, 'together': 1360, 'several': 1208, 'handy': 587, 'pen': 949, 'shapes': 1209, 'sticky': 1278, 'notes': 868, 'collaborating': 281, 'profile': 1030, 'pictures': 964, 'strokes': 1287, 'end': 455, 'prevents': 1016, 'accidental': 28, 'ending': 457, 'csm': 342, 'provisioning': 1041, 'larger': 732, 'ratio': 1058, 'approximately': 123, '70': 16, '30': 10, 'depends': 372, 'screens': 1171, 'speakers': 1256, 'works': 1504, 'ad': 40, 'hoc': 609, 'controlling': 325, 'fly': 530, 'channel': 242, 'everyone': 479, 'greater': 577, 'clustered': 276, 'organized': 914, 'categories': 233, 'labs': 727, 'accounts': 31, 'rolling': 1150, 'weeks': 1478, 'non': 865, 'expandable': 491, 'sections': 1181, 'general': 557, 'bring': 195, 'adds': 48, 'decides': 360, 'visible': 1451, 'signup': 1222, 'approvals': 121, 'auto': 154, 'designed': 375, 'life': 751, 'increasing': 650, 'no': 862, 'admitting': 61, 'supposed': 1301, 'anyways': 105, 'pin': 965, 'systems': 1312, 'remind': 1108, 'advantage': 63, 'amazing': 85, 'usability': 1424, 'improvement': 639, 'admits': 60, 'industry': 659, 'computers': 299, 'phones': 961, 'audible': 147, 'plays': 976, 'seconds': 1179, 'empowers': 449, 'delegates': 367, 'typically': 1397, 'executive': 486, 'reports': 1122, 'thereby': 1340, 'burden': 205, 'executives': 487, 'manually': 797, 'analysis': 88, 'processing': 1027, 'delegate': 366, 'gets': 562, 'am': 84, 'marked': 800, 'moreover': 835, 'subscribed': 1293, 'original': 916, 'floor': 528, 'speaks': 1258, 'hears': 595, '80': 17, 'does': 405, 'three': 1349, 'cancellation': 219, 'absentee': 23, 'follow': 532, 'didn': 389, 'optional': 907, 'variables': 1435, 'customization': 350, 'logos': 774, 'leave': 740, 'static': 1272, 'sortable': 1250, 'last': 734, 'changing': 241, 'pages': 931, 'consistent': 312, 'iframes': 630, 'removes': 1115, 'meanwhile': 813, 'administrative': 55, 'audited': 151, 'revert': 1146, 'old': 889, 'phase': 959, 'functions': 553, 'relating': 1103, 'creation': 339, 'adminstration': 58, 'loss': 777, 'functionality': 552, 'happy': 588, 'november': 874, 'customized': 352, 'logo': 773, 'step': 1276, 'impressed': 637, 'polished': 983, 'variety': 1436, 'couldn': 333, 'maximized': 808, 'max': 807, 'browsers': 200, 'terms': 1329, 'total': 1373, 'emojis': 448, 'tag': 1316, 'generally': 558, 'writing': 1509, 'mouse': 837, 'built': 203, 'discover': 397, 'lasso': 733, 'objects': 879, 'seen': 1185, 'panelist': 934, 'usage': 1425, 'always': 83, 'edited': 437, 'prefer': 1004, 'unless': 1406, 'slow': 1239, 'fast': 504, 'choice': 251, 'prefers': 1008, 'unavailable': 1400, 'steps': 1277, 'dictionary': 388, 'specify': 1260, 'vocabulary': 1453, 'words': 1501, 'uttered': 1433, 'transcribed': 1377, 'keywords': 721, 'include': 643, 'acronyms': 33, 'jargon': 707, 'product': 1028, 'categorizes': 234, 'separating': 1198, 'whose': 1492, 'identity': 628, 'belong': 179, 'hosting': 615, 'independent': 652, 'distinguishing': 401, 'applying': 118, 'stringent': 1286, 'perform': 954, 'bulk': 204, 'csv': 343, 'export': 495, 'import': 636, 'declined': 361, 'changed': 239, 'receives': 1074, 'informing': 663, 'cancelled': 221, 'reaching': 1061, 'expiry': 494, 'soon': 1249, 'expiring': 493, 'weekly': 1477, 'monthly': 833, 'controlled': 324, 'restrict': 1137, 'adhere': 49, 'via': 1445, 'pushing': 1045, 'owned': 927, 'matter': 806, 'installation': 669, 'restricted': 1138, 'machine': 781, 'restrictive': 1141, 'machines': 782, 'transfer': 1382, 'transfers': 1383, 'secondary': 1178, 'granular': 575, 'communication': 291, 'proactively': 1024, 'requiring': 1128, 'reach': 1060, 'opening': 899, 'closing': 274, 'distracting': 402, 'dragged': 416, 'behind': 177, 'openable': 897, 'editing': 438, 'edits': 439, 'async': 140, 'follows': 534, 'had': 584, 'continues': 321, 'conversely': 328, 'redesigned': 1082, 'interstitial': 683, 'plist': 977, 'modal': 828, 'bottom': 192, 'earpiece': 431, 'bluetooth': 188, 'logged': 769, 'pmr': 978, 'imessage': 634, 'festive': 511, 'cheer': 248, 'seasonal': 1176, 'makeover': 787, 'feedback': 509, 'release': 1104, 'builds': 202, 'webcasts': 1469, 'still': 1279, 'altogether': 81, '1080p': 4, 'worked': 1503, 'redirected': 1083, 'goes': 570, 'populated': 988, 'rejected': 1100, 'respond': 1131, 'hyperlinked': 624, 'redirects': 1084, 'quick': 1053, 'guide': 583, 'aids': 71, 'offer': 886, 'selfview': 1192, 'restricts': 1142, 'orgs': 915, 'till': 1352, 'deactivated': 356}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# X has shape (168, 1516)\n",
        "# because we have 281 examples of features (i.e. 168 rows in the CSV file) \n",
        "# and we have 1456 unique words in our vocabulary (i.e. 1456 unique words in the CSV's feature descriptions)\n",
        "X = bag.toarray()\n",
        "X.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3LTN7KHgirVK",
        "outputId": "b703d8f2-87de-4505-a56c-0edd547590bf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(168, 1516)"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# y has shape (168)\n",
        "# because there is a class label (0/1) for each of our 168 feature descriptions\n",
        "y = data['Label']\n",
        "y.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1sjP5yEAjNMj",
        "outputId": "a7c66791-c772-4abd-f5c3-be60883b609c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(168,)"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Train Test Split\n"
      ],
      "metadata": {
        "id": "N1Ym9ROujgcx"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "VcuNSIwWjlHS"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Test Train Split\n",
        "from sklearn.model_selection import train_test_split\n",
        "\"\"\"\n",
        "  Splits Data into two separate sets (training set, testing set)\n",
        "\n",
        "  Utilizes Sklearn's test train split function to split arrays\n",
        "  We are going preliminarily with a 30& split (0,30) test size \n",
        "  Input: X & y array (features & labels)  \n",
        "  Returns:\n",
        "    4 arrays with training data and test data (x & y)\n",
        "\"\"\"\n",
        "# X and Y already Built\n",
        "X_train, X_test, y_train, y_test = train_test_split(X,y,\n",
        "    test_size=0.28, train_size=0.72, random_state=42)\n",
        "print(X_train.shape,X_test.shape, y_train.shape, y_test.shape)\n",
        "print(y_test)\n",
        "# Training and testing sizes already here"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3S_wZQJWR4mQ",
        "outputId": "5b811eea-5961-46f4-df89-03e7795db852"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "(120, 1516) (48, 1516) (120,) (48,)\n",
            "137    1\n",
            "30     0\n",
            "119    1\n",
            "29     0\n",
            "142    1\n",
            "161    1\n",
            "164    1\n",
            "51     0\n",
            "105    1\n",
            "60     0\n",
            "15     0\n",
            "156    1\n",
            "133    1\n",
            "45     0\n",
            "68     0\n",
            "85     1\n",
            "24     0\n",
            "109    1\n",
            "75     0\n",
            "108    1\n",
            "19     0\n",
            "16     0\n",
            "31     0\n",
            "18     0\n",
            "12     0\n",
            "9      0\n",
            "82     0\n",
            "98     1\n",
            "76     0\n",
            "55     0\n",
            "42     0\n",
            "56     0\n",
            "148    1\n",
            "111    1\n",
            "69     0\n",
            "136    1\n",
            "2      0\n",
            "93     1\n",
            "134    1\n",
            "152    1\n",
            "90     1\n",
            "114    1\n",
            "26     0\n",
            "144    1\n",
            "135    1\n",
            "97     1\n",
            "65     0\n",
            "36     0\n",
            "Name: Label, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Training the knn model"
      ],
      "metadata": {
        "id": "mKZ9IfFNj4TU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Import necessary modules\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "\n",
        "knn = KNeighborsClassifier(n_neighbors=4)\n",
        "  \n",
        "knn.fit(X_train, y_train)\n",
        "  \n",
        "# Predict on dataset which model has not seen before\n",
        "testResults = knn.predict(X_test)\n",
        "print(len(testResults))\n",
        "print(testResults)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ucKnu3Qxj7kS",
        "outputId": "0c37e048-853c-4565-8b8d-2a80cce30f07"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "48\n",
            "[0 0 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 1 1 1\n",
            " 0 0 0 0 0 1 0 0 0 0 0]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Checking for accuracy by iterating over different k values\n"
      ],
      "metadata": {
        "id": "wP5N1mJ3kPwh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#We will now iterate over different values of k to check for best accuracy\n",
        "\n",
        "# Import necessary modules\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.datasets import load_iris\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "\n",
        "neighbors = np.arange(1, 9)\n",
        "train_accuracy = np.empty(len(neighbors))\n",
        "test_accuracy = np.empty(len(neighbors))\n",
        "  \n",
        "# Loop over K values\n",
        "for i, k in enumerate(neighbors):\n",
        "    knn = KNeighborsClassifier(n_neighbors=k)\n",
        "    knn.fit(X_train, y_train)\n",
        "      \n",
        "    # Compute training and test data accuracy\n",
        "    train_accuracy[i] = knn.score(X_train, y_train)\n",
        "    test_accuracy[i] = knn.score(X_test, y_test)\n",
        "  \n",
        "# Generate plot\n",
        "plt.plot(neighbors, test_accuracy, label = 'Testing dataset Accuracy')\n",
        "plt.plot(neighbors, train_accuracy, label = 'Training dataset Accuracy')\n",
        "  \n",
        "plt.legend()\n",
        "plt.xlabel('n_neighbors')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "id": "Amr_YDbgkY23",
        "outputId": "2f5a1ced-36f6-45b2-be37-c5da5a10c638"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#The above plot shows that a k value of 3, followed by 5 works best \n",
        "# for the model without overfitting "
      ],
      "metadata": {
        "id": "gAriJW1jkfCZ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Predicting results using Test data set\n",
        "pred = knn.predict(X_test)\n",
        "from sklearn.metrics import accuracy_score\n",
        "accuracy_score(pred,y_test)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Wm2FNRHYnmh4",
        "outputId": "bae3cc5c-9587-408e-93b7-8b95a2df2065"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6041666666666666"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#A 72-28 test train split gives us a measure of highest acccuracy with a \n",
        "# k neighbor value of 4 which seems like a reasonable inference.\n"
      ],
      "metadata": {
        "id": "o4MiQpqnnq2T"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "vf0d3LGGn5b1"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}