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LSRC: Lexicon star rating system over cloud

机译:LSRC:云中的Lexicon星级评级系统

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摘要

In the age of Internet, it is essential to go for the reviews before taking any service like to go for a movie or buying any product. Sentiment analysis plays a vital role to determine people's opinion or reviews of any entity, i.e., products, movies or comments etc. Sentiment analysis is an opinion mining technique which uses the concept of NLP (Natural Language Processing) and provide us the behavior of consumer about the product. Reviews are mainly classified as positive, negative or neutral. In this paper we used the concept of lexicon-based approach to give star rating to the reviews. Instead of classifying reviews as positive, negative or neutral, we have categorized them into five subcategories, i.e., Excellent, Good, Neutral, Bad and Worst using star-scale method. We got the results in reasonable time by using the concept of VM (Virtual Machines).
机译:在互联网时代,在采取任何服务之前,必须去审查,就像去电影或购买任何产品一样。情绪分析起到了重要作用,可以确定人们对任何实体的意见或审查,即产品,电影或评论等。情感分析是一种使用NLP(自然语言处理)概念的意见采矿技术,为我们提供了消费者的行为关于产品。评论主要是归类为积极,消极或中立的。在本文中,我们利用基于词汇的方法的概念来为审查提供星级。而不是将审查分类为积极,消极或中立,而是将它们分为五个子类别,即使用星形方法,即优异,良好,中性,坏和最坏的情况。我们通过使用VM(虚拟机)的概念在合理的时间内得到了结果。

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