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Sentiment Analysis of Malayalam film review using machine learning techniques

机译:使用机器学习技术分析马拉雅拉姆语电影评论的情感

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The unprecedented growth of data in web, social media and the attempt to make the cognitive process using computers make Sentiment Analysis a challenging and interesting research problem. Sentiment Analysis mainly deals with the process of analyzing the sentiments or feelings from someone's expression or piece of information, and also in discovering the cognitive behavior of humans. The usage of computers to get feedback, opinion or remarks about a product, entertainment or political view of the public is very common. This paper demonstrates how Sentiment Analysis can be used in reviewing Malayalam films by using machine learning techniques. It is a hybrid approach comprising of machine learning techniques and rule based approach. This work would help the users to analyze the film criticism and also to assign the rank and popularity of new arrival films. In this work, the system checks the polarity at the sentence level, resulted in an accuracy of 91%.
机译:网络,社交媒体中数据的空前增长以及使用计算机进行认知过程的尝试使“情感分析”成为一个充满挑战且有趣的研究问题。情感分析主要处理从某人的表达或信息中分析情感或感觉的过程,还涉及发现人类的认知行为。使用计算机来获取有关产品,娱乐或公众政治观点的反馈,意见或评论是很普遍的。本文演示了如何通过机器学习技术将情感分析用于评论马拉雅拉姆语电影。它是一种混合方法,包括机器学习技术和基于规则的方法。这项工作将帮助用户分析电影评论并确定新上映电影的等级和受欢迎程度。在这项工作中,系统在句子级别检查极性,结果准确性为91%。

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