SENTIMENT ANALYSIS OF TWEETS

Author(s):

POOJA KUMARI , PVPPCOE; SHIKHA SINGH, PVPPCOE; DEVIKA MORE, PVPPCOE; DAKSHATA TALPADE, PVPPCOE; MANJIRI PATHAK, PVPPCOE

Keywords:

Microblogging websites, Naive Bayes classifier

Abstract:

Microblogging websites such as twitter have evolved into source of unfettered and wide ranging category of information. Use of socially generated big data to access information about collective states of the minds in human societies becomes a new paradigm in the emerging field of computational social science. One of the natural applications of this would be prediction of the society's reaction to a new product in the sense of popularity and adoption rate. In our paper, we focus on using Twitter, the most popular microblogging platform, for the task of sentiment analysis. Using the corpus, we build a sentiment classifier that is able to determine positive, negative and neutral sentiments for a document.

Other Details:

Manuscript Id	:	IJSTEV1I10092
Published in	:	Volume : 1, Issue : 10
Publication Date	:	01/05/2015
Page(s)	:	130-134

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