Author : Roopa V 1
Date of Publication :22nd March 2018
Abstract: Today, Microblogging is the most popular statement tool among Internet users. Every day people share their opinions on different aspects of life. Therefore, these websites have become rich sources of data for opinion mining and sentiment analysis. Because microblogging has appeared comparatively, there are few research works that were dedicated to this topic. In our paper, we focus on using Twitter, the most popular platform, for the task of sentiment analysis. It shows how we group a corpus for sentiment analysis and opinion mining which discovers phenomena of the corpus by linguistic analyzing. Using corpus, we build a sentiment classifier that is able to determine positive, negative and neutral sentiments for a document. Experimental evaluations show that our proposed techniques are efficient and perform better than previously proposed methods. In our research, we worked with English, however, the proposed technique can be used with any other language.
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