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  • 标题:A Review on Text Mining Techniques for the Prediction of Psychological Behaviour using Social Media
  • 本地全文:下载
  • 作者:S J R K Padminivalli V ; M.V.P. Chandra Sekhara Rao
  • 期刊名称:International Journal of Early Childhood Special Education
  • 电子版ISSN:1308-5581
  • 出版年度:2022
  • 卷号:14
  • 期号:3
  • 页码:2462-2467
  • DOI:10.9756/INT-JECSE/V14I3.293
  • 语种:English
  • 出版社:International Journal of Early Childhood Special Education
  • 摘要:Text mining (TM)or text data mining mainly focuses on analyzing different types of data that is available in various social networking sites and also from other types. Social media reduced the gaps between individuals. Prior to its advent, it was not only difficult to communicate but also was time taking process. Social media service is the fast and inexpensive means to communicate with the people. Using text mining algorithms many applications such as emotion recognition, sentiment analysis, users behavior analysis, stress based analysis and psychological analysis can be developed. To improve the analysis of data several machine learning (ML) algorithms can be adopted to overcome the issues in text mining process. This paper discusses and analyzes various text mining algorithms, text analysis and their performances.
  • 关键词:text mining;machine learning;sentiment analysis
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