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Template/Baseline for text classification

Models used

Logistic Regression
Naive Bayes
XGBoost
LSTM
Bi-directional LSTM
GRU

Data processing methods

TF-IDF
N-gram (CountVectorizer)
GloVe

Case: Sentiment Analysis (6 sentiments)

Libraries

Pytorch (for modelling)
TF/Keras (for some preprocessing)

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A template/baseline for text classification, consist of several models.

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