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Sentiment Embedded Semantic Space for More Accurate Sentiment Analysis.

Lecture Notes in Artificial Intelligence, (2018): 221-231

Cited by: 1|Views32
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Abstract

Word embedding is one common word vector representation with improved performance for sentiment analysis task. Most existing methods of learning context-based word embedding are semantic oriented, but they typically fail to capture the sentiment information. This may result in words with similar vectors but with very different sentiment p...More

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