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  • 标题:Sentiment Based Comments Rating Approach
  • 本地全文:下载
  • 作者:K. Saranya ; R. Leema Roslin ; L. Hari Hara Priyan
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2019
  • 卷号:7
  • 期号:2
  • 页码:1102-1110
  • DOI:10.15680/IJIRCCE.2019. 0702097
  • 出版社:S&S Publications
  • 摘要:Sentiment Analysis is the way of classifying the text based on the sentimental polarities of the opinion to find whether it is favorable, unfavorable, positive, negative or neutral .Nowadays user rating is one of the major factors which influences the customer decision in selecting the product. Food recipe actually lacks the data labeling and the mechanism to rate and acquires the sentiment labels. Hence we proposed a system which uses a web application that classifies the comments given to the food recipes based on the polarities.
  • 关键词:Sentiment Analysis; Data Collection; Preprocessing; Feature Classification; Sentiment Level Opinion
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