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Sentiment Analysis on Twitter

Author(s):

Pooja Katti , Sambhram Institute of Technology; T Srinivasa Rao, Sambhram Institute of Technology

Keywords:

Twitter, Sentiment Analysis

Abstract

In this world of growing technologies everything has been computerized. This project addresses the problem of sentiment analysis in twitter; that is classifying tweets according to the sentiment expressed in them: positive, negative or neutral. Twitter is an online micro-blogging and social-networking platform which allows users to write short status updates of maximum length 140 characters. It is a rapidly expanding service with over 200 million registered users out of which 100 million are active users and half of them log on twitter on a daily basis generating nearly 250 million tweets per day. Due to this large amount of usage we hope to achieve a reflection of public sentiment by analyzing the sentiments expressed in the tweets. Analyzing the public sentiment is important for many applications such as firms trying to find out the response of their products in the market, predicting political elections and predicting socioeconomic phenomena like stock exchange.

Other Details

Paper ID: IJSRDV6I50187
Published in: Volume : 6, Issue : 5
Publication Date: 01/08/2018
Page(s): 380-382

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