Certain Investigations on Sentimental Analysis Architecture and Tools
R. P. Ramkumar1, Sanjeeva Polepaka2
1R. P. Ram Kumar, Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College Autonomous, Maisammaguda, Secunderabad (Telangana), India.
2Sanjeeva Polepaka, Associate Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College Autonomous, Maisammaguda, Secunderabad (Telangana), India.
Manuscript received on 06 February 2019 | Revised Manuscript received on 28 March 2019 | Manuscript Published on 28 April 2019 | PP: 69-71 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10180275C19/19©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: The sentiment is defined as the feeling(s) about the review or comment. The Sentimental Analysis aims to determine the attitude of content or product for a period at a given moment. Later, these observations are categorized as negative, neutral, positive and sometimes no sentiment(s) at all. The review(s) or comment(s) on a concern product is beneficial for the companies to prioritize the issues, narrow down the problems to be solved and to explore the scenarios for success. This article deals with the study of sentimental analysis or opinion mining architecture and tools used for Sentimental Analysis for the naive users.
Keywords: Opinion Mining, Tweets, Opinion Polarities, Crawling, Sentimental Analysis, Twitter Statistics.
Scope of the Article: Encryption Methods and Tools