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Title: SIGNIFICANCE OF LINGPIPE USING TWITTER’S TWEETS FOR STOCK MARKET PROGNOSIS

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Title:
SIGNIFICANCE OF LINGPIPE USING TWITTER’S TWEETS FOR STOCK MARKET PROGNOSIS
Author Name:
Mr. R. V. Argiddi
Abstract:
Now a day’s people are mostly connected with social network for exchanging their thoughts and ideas and its popularity is growing very rapidly. Sentiment analysis is booming its popularity in domain like advertisement, online shopping and all types of E commerce. Normally human being gather information related to entity which he wants to buy from friends and relatives. But now the time has changed it is an era of social networking were lot of opinions can be collected from social network sites like twitter this article discusses an approach were large no. of tweets are collected from twitter which are processed and classified based on their emotional content as positive, negative and neutral and analyze them .This result of analysis is used for concluding stock price . The tools used are Ling Pipe and Support Vector Machine, here we compare the processed data with yesterday’s closing stock data and generate final result.
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