Refined distributed emotion vector representation for social media sentiment analysis

Yung Chun Chang, Wen Chao Yeh, Yan Chun Hsing, Chen Ann Wang

研究成果: 雜誌貢獻文章同行評審

5 引文 斯高帕斯(Scopus)

摘要

As user-generated content increasingly proliferates through social networking sites, our lives are bombarded with ever more information, which has in turn has inspired the rapid evolution of new technologies and tools to process these vast amounts of data. Semantic and sentiment analysis of these social multimedia have become key research topics in many areas in society, e.g., in shopping malls to help policymakers predict market trends and discover potential customers. In this light, this study proposes a novel method to analyze the emotional aspects of Chinese vocabulary and then to assess the mass comments of the movie reviews. The experiment results show that our method 1. can improve the machine learning model by providing more refined emotional information to enhance the effectiveness of movie recommendation systems, and 2. performs significantly better than the other commonly used methods of emotional analysis.

原文英語
文章編號e0223317
期刊PLoS ONE
14
發行號10
DOIs
出版狀態已發佈 - 1月 1 2019

ASJC Scopus subject areas

  • 生物化學、遺傳與分子生物學 (全部)
  • 農業與生物科學 (全部)
  • 多學科

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