情感分析与意见挖掘研究进展

Proceedings of the International Conference on Advances in Information Communication Technology & Computing Pub Date : 2016-08-12 DOI:10.1145/2979779.2979832

Jyoti Assistant, justjyoti. verma, S. Rao

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引用次数: 95

摘要

随着万维网扩展到与我们日常生活有关的任何事情，人们越来越多地在门户网站、博客等网站上表达自己的观点或想法。一个产品有一百万条评论。因此，很难追踪顾客的意见。情感分析通过自然语言处理从源数据中发现主观信息。有很多技术可以用来对观点的极性进行分类。本文对提供极性情感的各种效果技术和方法进行了详细的综述。最后，本文还比较了两种可用的情感分析工具，并强调了它们在这方面的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Survey on Sentiment Analysis and Opinion Mining

With www expanding its reach to anything and everything related to our daily lives, people are becoming more and more vocal to express their views or ideas on online portals, blogs etc. So there is a million of reviews for a product. As a result, it becomes difficult to track the opinions of customers. Sentiment analysis finds the subjective information from the source data by using natural language processing. There are many techniques available to classify the polarity of opinions. This paper is an effect to provide the detailed survey of various technology and methods to provide polarity of sentiments. Lastly, the paper also compares the two tools available for sentiment analysis and highlights their effectiveness in doing so.

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Proceedings of the International Conference on Advances in Information Communication Technology & Computing

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