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Feature based Sentiment Analysis of Product Reviews using modified PMI-IR Method

neeraj

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10-December-2018

Sentiment analysis is the research area where opinions expressed by humans studied, analyzed, processed and find the emotions or opinions from the given content. Contents related to any entities such as products, services, organizations, individuals, issues, events and their related attributes. Sentiment analysis is also called opinion mining mainly focus on processing of opinions and extract positive, negative and neutral sentiments. Sentiments or opinions are very important as they have big impact on human activities and are key influence on our behaviors. Purpose of study of sentiment analysis is that it provides the useful information about positivity and negativity of entity. The rapid growth of the field coincide with those of the social media on the Web, e.g., online review, blogs, micro blogs, shopping websites and social networks, because for the first time in human history, we have a huge volume of sentimental data available in digital forms. In recent years, industries use people’s sentiments to analyze current trends about its products or consumer services.

Our work focused only on downloading reviews and ratings from shopping web pages so we crawl into only those html tags which contain product reviews, ratings and title of web page. This restricts downloading unwanted html scraps from web page and reduces the storage space. We used topic based/ focused crawler to download only specific contents not the whole page. Document storage stores the text contents in a compressed form for effective use of storage space.

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Software Requirement :   MATLAB

Hardware Requirement :   • Intel Processor 2.0 GHz or above. • 2 GB RAM or more. • 160 GB or more Hard Disk Drive or above.


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