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sentiment-analysis

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.

  • movie reviews (provided by Department)
  • IMDB Large Movie Reviews [Link]
  • GOP Debate Twitters [Link]
  • Douban Movie Short Comments [Link]

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sentiment analysis of textual documents (reviews, twitters) using different learning architectures (doc2vec, LSTM)

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