Author : Sumit Gupta 1
Date of Publication :7th May 2016
Abstract: Our big world has seemingly become very small as humans across the globe can explore the immense possibilities owing to the revolutionary technology in terms of Virtual Community. Interactions among online users over social networking sites have increased manifold and the social being has left no stone unturned to bank upon the different offerings of a virtual world. The last decade has witnessed a colossal growth in the research arena on how to comprehend and analyze the human mind, behavior and thought-process by using information from such online communities. To do so, one such interesting tool being created by different researchers is Sentiment Analyzer. The textual information in the form of tweets, posts, messages, blogs, reviews, comments, opinions etc are being considered as sources of data and are used to understand the sentimental needs and requirements of an individual. But using texts for sentiment analysis is a very challenging task that includes intricate computational techniques. Through this paper, we aim to bring to the fore the different types of sentiment analysis being performed nowadays and the different classifiers used to classify text. We have also designed a system and fed textual inputs to it to observe how two of the classifiers yield results.
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