SENTIMENT ANALYSIS USING BIG DATA

被引：0

作者：

Ramanujam, R. Suresh ^{[1
]}

Nancyamala, R. ^{[1
]}

Nivedha, J. ^{[1
]}

Kokila, J. ^{[1
]}

机构：

[1] Sri Manakula Vinayagar Engn Coll, Dept Informat Technol, Pondicherry, India

来源：

2015 INTERNATIONAL CONFERENCE ON COMPUTATION OF POWER, ENERGY, INFORMATION AND COMMUNICATION (ICCPEIC) | 2015年

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

The Web has become an excellent source for assembling consumer opinions. There are now several Web sites containing such opinions, e.g., customer reviews of products, forums, discussion groups, and blogs. This paper focuses on online customer reviews of products. It makes two contributions. First, it proposes a framework for analyzing and comparing consumer opinions of competing products in map and reduce environment for better analysis. Second, a new technique based on lexicon based technique is proposed to extract neutral reviews and restrict them from being categorized under positive or negative. Experimental results show that the technique is highly effective and smash existing methods significantly.

引用

页码：480 / 484

页数：5

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