This project primarily focuses on the topic of "sentiment analysis" using various learning algorithms and architectures, including doc2vec and LSTM-RNN as embeddings, Naive Bayes and SVM as classifiers. This work basically extends the project at Cambridge to more datasets as listed below.
ZihengZZH/sentiment-analysis
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