期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：6
页码：12588
DOI：10.15680/IJIRCCE.2017.0506211
出版社：S&S Publications
摘要：The world wide web can be viewed as a repository of opinions from users spread across variouswebsites and networks, and today’s netizens look up reviews and opinions to judge commodities, visit forums todebate about events and policies. With this explosion in the volume of and reliance on user reviews and opinions,manufacturers and retailers face the challenge of automating the analysis of such massive amounts of data (userreviews, opinions, sentiments). Armed with these results, sellers can enhance their product and tailor experience forthe customer. Similarly, policy makers can analyse these posts to get instant and comprehensive feedback. Or use itfor innovative ideas that democratize the policy making process. This paper is the outcome of our research ingathering opinion and review data from popular portals, e-commerce websites, forums or social networks; andprocessing the data using the rules of natural language and grammar to find out what exactly was being talked aboutin the user's review and the sentiments that people are expressing. Our approach diligently scans every line of data,and generates a cogent summary of every review (categorized by aspects) along with various graphicalvisualizations. A novel application of this approach is helping product manufacturers or the government in gaugingresponse.
