Twitter Real Time Review Report Generator
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Date
2018-06-19T09:05:16Z
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Abstract
In general, opinion mining has been used to know about what people think and feel
about their products and services in social media platforms. Millions of users share opinions on different aspects of life every day. Spurred by that growth, companies andmedia organizations are increasingly seeking way to mine information. It requires efficient techniques to collect a large amount of social media data and extract
meaningful information from them. Till now, there are few different problems
predominating in this research community, namely, sentiment classification, feature
based classification and handling negations. A precise method is used for predicting sentiment polarity, which helps to improve marketing strategies. This paper deals withthe challenges that appear in the process of Sentiment Analysis, real time tweets are considered as they are rich sources of data for opinion mining and sentiment analysis.
This paper focus on Sentiment analysis, Feature based Sentiment classification and
Opinion Summarization. The main objective of this paper is to perform real time
sentimental analysis on the tweets that are extracted from the twitter and provide time based analytics to the user.
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CHAYA CHANDRASHEKAR SHETTY, CHETANA M JYOTHI, JYOTHI, NAYANA M M, 1NH14CS024, 1NH14CS025, 1NH14CS050, 1NH14CS076