Sentiment classification with bottleneck features and LSTM network

پديدآورندگان

رضا صفابخش

كليدواژه

sentiment analysis , long short term memory , active learning , bottleneck features

كشور

ايران

نويسنده

زهرا رحیمی

كلمات كليدي

sentiment analysis; long short term memory; active learning; bottleneck features

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