Learning Word Vectors for Sentiment Analysis

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dimensional vector representation of words by first training a k-topic model and then filling the matrix with the p(wjT) values (normalized to unit length). The result is a word–topic matrix in which the rows are taken to represent word meanings. However, because the emphasis in LDA is …

  Analysis, Learning, Words, Dimensional, Vector, Sentiment, Learning word vectors for sentiment analysis