Sentiment Analysis Based on Word Vector Model
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    Abstract:

    With the development of Internet, text information, such as product review, increases rapidly. The mass text information makes it more difficult to make artificial management. Considering that product reviews are short text, this paper comes up with the method of word vector superposition and weighted word vector. In the result of sentiment analysis, the method is proved effective. Emotional analysis technology can solve the difficulty of artificial classification in the mass of product review, and help users to get information quickly.

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魏广顺,吴开超.基于词向量模型的情感分析.计算机系统应用,2017,26(3):182-186

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History
  • Received:June 21,2016
  • Revised:August 18,2016
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  • Online: March 11,2017
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