Analyzing Consumer Reviews with Text Mining Approach

S. Dasgupta, K. Sengupta
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引用次数: 6

Abstract

In the era of Internet, it is not necessary to run an expensive market survey to explore what the users are saying about a product and to find out whether there are any modifications required within the product. There are several sites available where users from different parts of the world post their comments after using a product. These comments can be analyzed scientifically through text mining to understand how the users have used different words in relation to the said product. The current study has been focused at finding out the word association with Samsung Galaxy 3 (a high-end smart phone). It also deals with how a few keywords are related to other words through correlation analysis.
用文本挖掘方法分析消费者评论
在互联网时代,没有必要进行昂贵的市场调查来探索用户对产品的看法,并找出产品内部是否需要修改。世界各地的用户在使用产品后可以在一些网站上发表评论。这些评论可以通过文本挖掘进行科学分析,以了解用户如何使用与所述产品相关的不同单词。目前的研究重点是找出与三星电子“Galaxy 3”(高端智能手机)相关的单词。它还通过相关性分析处理一些关键词如何与其他单词相关。
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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