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Search results with tag "Learning word vectors for sentiment analysis"

Learning Word Vectors for Sentiment Analysis

Learning Word Vectors for Sentiment Analysis

ai.stanford.edu

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

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