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Sentiment Analysis of Movie Reviews in Hindi Language using Machine Learning

机译:使用机器学习在印地语语言中电影评论的情感分析

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Sentiment Analysis is an application of Natural Language Processing (NLP) which is used to find the sentiments of users reviews, comments etc. on the internet. Nowadays, social websites like facebook, twitter are widely used for posting the users reviews about different things such as movies, news, food, fashion, politics and much more. Reviews and opinions play a major role in identifying the level of satisfaction of users regarding a particular entity. These are then used to find the polarity i.e. positive, negative and neutral. In this paper an approach to Sentiment Analysis on movie reviews in Hindi language is discussed.
机译:情感分析是自然语言处理的应用(NLP),用于在互联网上找到用户评论,评论等的情绪。如今,Facebook这样的社交网站,推特广泛用于发布用户评论,了解电影,新闻,食品,时尚,政治等不同事物等。评论和意见在确定有关特定实体的用户满意度方面发挥着重要作用。然后使用这些来找到极性I.E.正,阴性和中性。本文讨论了一种关于印地语语言的电影评论的情感分析方法。

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