Team
- Harmanpreet Singh (20164950)
- Alexander Peplowski (20148127)
We examine multiple classification algorithms such as Naive Bayes with smoothing, Linear Support Vector Classifier (SVC), Logistic Regression, Multi-Layer Perceptron (MLP) and sequence models. Investigated feature extraction approaches such as term-frequency inverse document frequency (tf-idf) and self-trained word2vec embeddings.
Training and test data must be stored at:
- Train Data:
data/data_train.pkl - Test Data:
data/data_test.pkl
Labelled test data is output as: submission.csv