Sentiment Analysis and Big Data Processing

Abstract

The explosion of Web 2.0 has prompted expanded movement in Blogging, Tagging, Contributing to RSS, Social Bookmarking, and Social Networking. Accordingly there has been an ejection of enthusiasm toward individuals to mine these tremendous assets of information to see its opinion. Estimation Analysis or Opinion Mining is the computational medication of suppositions, assessments and subjectivity of content. Presently a days a large portion of the site holds dialog segment beneath their article, where client gives survey and assumption in regards to article.

Everyday so many articles about business, sports, politics, news are being posted. There are plenty of platform where people read and give their opinion about article. One thing that does not exist and can be provided on article page is Sentiment analysis result so that user can see the polarity/sentiment of the content in page. Trending articles, URL in various domain always excite users. We are collecting such trending articles from social media, calculate the sentiment result and representing it to user as per his social media interest and likes. User can also manually enter his favourite URL or text content to get the sentiment for the same. Fastest pattern matching algorithm, social media interest based recommendation, locale based article recommendation using shortest distance algorithm , KNN algorithm for relative sentiment result; all of them combined into single application to avail something new in front of web users.