基于极性的SVM电影评论分析技术

S. Arjaria, Jincy M. Mathew
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引用次数: 0

摘要

如今,互联网被用作一个巨大的信息库,每个人都可以访问它。这些信息是通过用户之间的信息共享每天生成的。客户或用户需要这些信息来根据其他客户的评论做出购买决策。因为每个人都想知道其他人的意见,这就是为什么需要一个系统,可以直接从大量用户评论中给出最终意见。情感分析在新闻行业、医疗保健行业、服装行业、政治选举、电影评论和产品评论等各种应用领域都非常有用。电影评论分析已成为该领域的一个重要研究领域。本文提出了一种基于极性特征的支持向量机技术来提高正确电影的预测精度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Polarity Based SVM Techniques for Analyzing Movie Review
Nowadays the Internet is used as an enormous source repository of information and it is accessible for everyone. This information is generated day-to-day by information sharing among the users. Customers or the users need this information for making their purchasing decision according to the reviews of other customers. As everyone wants to know the opinions from others that is why there is need of a system which can directly give the final opinions from this large collection of user reviews. The sentiment analysis is found to be very useful in various application areas like in news sector, healthcare industry, apparel industry, political elections, movie reviews and product review. The analysis of movie reviews has been emerged as a prominent area of research in this field. The proposed work applied a polarity feature based SVM technique to enhance the accuracy of the prediction of correct movie
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