Identification on Top Trends of Public Opinion using Location based Sentiment Analysis
Vishal C1, K. Saravanan2
1Mr.Vishal C, Research Scholar, Department of Computer Science, PRIST University, Thanjavur, (Tamil Nadu), India.
2Dr. K. Saravanan, Dean, Department of Computer Science, PRIST University, Thanjavur, Tamilnadu (Tamil Nadu), India.
Manuscript received on 07 March 2019 | Revised Manuscript received on 20 March 2019 | Manuscript published on 30 March 2019 | PP: 577-580 | Volume-8 Issue-5, March 2019 | Retrieval Number: D3235028419/19©BEIESP
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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: Social Media has become a platform for the users to express their opinion on the new emerging trends. It has been estimated that 80% of the data in today’s world is unstructured and not been organized in a per-determined order. For the user It has become very hard to group the data because of time consumption and analyzing. Users from different parts of the world share their opinions based upon the emerging trends in social media. Such data are classified and categorization into polarities like positive, negative and neutral process using sentiment analysis and processed for the data accuracy. A model can be built by locating user’s Geo location to know the connectivity and location of the users who are interested in top trending events happening in and around the world.
Keyword: Sentiment Analysis, Classification, Social Networking, Location, Accuracy.
Scope of the Article: Software Domain Modelling and Analysis