Survey Paper | Computer Science & Engineering | India | Volume 4 Issue 10, October 2015
Survey Paper on Twitter Sentiment Analysis Using Portar Stemming Algorithm
Nishad Patil | Tingre Sayali | Thorat Kalyani | Shivshetty Swapnil | Patil Shwetal
Abstract: Twitter and other social networking sites have recently evolved as the main source of data for analysis of a product or a particular thing over the time. These sites have millions of users everyday producing trillions of data day in and day out. Twitter being the most common micro blogging site help us fetch millions of tweets that are generated every minute, these tweets can used for performing sentiment analysis and also for checking what the user are saying about a particular product i. e. positive, negative or neutral. The system will be fetching live tweets and generating result as positive, negative and neutral.
Keywords: hashtag, tweets, hadoop, sentiment analysis, twitter, portar stemming
Edition: Volume 4 Issue 10, October 2015,
Pages: 1707 - 1708
How to Cite this Article?
Nishad Patil, Tingre Sayali, Thorat Kalyani, Shivshetty Swapnil, Patil Shwetal, "Survey Paper on Twitter Sentiment Analysis Using Portar Stemming Algorithm", International Journal of Science and Research (IJSR), Volume 4 Issue 10, October 2015, pp. 1707-1708, https://www.ijsr.net/get_abstract.php?paper_id=SUB159196
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