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文章基本信息

  • 标题:Sentiment Analysis for Social Media
  • 本地全文:下载
  • 作者:Asst. Prof. A Kowcika ; Aditi Gupta ; Karthik Sondhi
  • 期刊名称:International Journal of Advanced Research In Computer Science and Software Engineering
  • 印刷版ISSN:2277-6451
  • 电子版ISSN:2277-128X
  • 出版年度:2013
  • 卷号:3
  • 期号:7
  • 出版社:S.S. Mishra
  • 摘要:The proposed system is able to collect useful information from the twitter website and efficiently perform sentiment analysis of tweets regarding the Smart phone war. The system uses efficient scoring system for predicting the user's age. The user 'gender is predicted using a well trained Na.ve Bayes Classifier. Sentiment Classifier Model labels the tweet with a sentiment. This helps in comprehensively analyzing the data based on various consumer parameters such as location, gender and age group.
  • 关键词:Sentiment Analysis; Social media; Twitter Streaming; Entity Extraction.
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