Sentiment Analysis On Tweets
G.Prabhakara Reddy1, O.Ramesh2, M.Mahesh Kumar3, Pothuluri Naga Sunayana4
1G.Prabhakara Reddy, Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India.
2O.Ramesh, Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India.
3M.Mahesh Kumar , Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India.
4Pothuluri Naga Sunayana, Department of Computer Science and Engineering, MLR Institute of Technology, Dundigal, Hyderabad, India.
Manuscript received on October 14, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 1999-2004 | Volume-9 Issue-1, November 2019. | Retrieval Number: L33081081219/2019©BEIESP | DOI: 10.35940/ijitee.L3308.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this current era, social media plays a vital role in information exchange, sharing their thoughts. Emotional result of an individual maintains a vital role on their day-to day life. Sentiment Analysis could be a procedure of analysing the opinions and polarity of thoughts of the person. Twitter could be a main platform on sharing the thought’s, opinion and sentiments on completely different occasions. Twitter Sentimental Analysis is methodology of analysing the emotions from tweets (message denote by user in twitter). Tweets are useful in extracting the Sentimental values from the user. the info offering the Polarity indication like positive, negative or unbiased values. it’s targeted on the person’s tweets and also the hash tags for understanding the things in every facet of the standards. The paper is to analyse the famed person’s id’s or hash tags for understanding the mind-set of individuals in every scenario once the person has tweeted or has acted upon some incidents. When the person has tweeted or has acted upon some incidents.
Keywords: Social Media Plays a Vital role in Information Exchange, Sharing their Thoughts. When the Person has Tweeted or has Acted upon Some Incidents.
Scope of the Article: Social Networks