期刊名称：International Journal of Engineering and Computer Science
印刷版ISSN：2319-7242
出版年度：2015
卷号：4
期号：10
页码：14599-14604
DOI：10.18535/ijecs/v4i10.11
出版社：IJECS
摘要：The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing suchopinions, e.g., customer reviews of products, forums, discussion groups, and blogs. All these reviews are the opinions of people all over theworld about different products. With the growing availability and popularity of opinion-rich resources such as review forums for theproduct sold online, choosing the right product from a large number of products have become difficult for the user. These sources areunderutilized both by consumers and businesses due to their unstructured nature, serial presentation, limited search tools, and low ratio ofuseful information to the overall amount of data. The proposed system illustrates visual analysis system that performs sentiment analysisand derives insight from a collection of online reviews of products from customer. Effective visual analysis of online customer opinions isneeded, as it has a significant impact on building a successful business and helps the customers in decision making process. This paperpresents background Study of Sentiment Analysis or Opinion Mining and gives overview of proposed methodology with insights into pastresearch work.
