Enhanced Text Mining Methodology in Social Media Platform
K.Manoj Kumar1, T.S.Sandeep2, G.Sunil Kumar3, K.Anusha4

1K. Manoj Kumar, Dept. of CSE, Sri Venkateswara College of Engineering (SVCE), Tirupati, Andhra Pradesh, India.
2T.S.Sandeep, Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India.
3G.Sunil Kumar, Dept. of CSE, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India.
4K. Anusha, Dept. of I.T, S V Engineering College (SVEC), Tirupati, Andhra Pradesh, India.

Manuscript received on September 13, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 4857-4861 | Volume-8 Issue-12, October 2019. | Retrieval Number: L37161081219/2019©BEIESP | DOI: 10.35940/ijitee.L3716.1081219
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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: For past few years, the World Wide Web has turned into an immense wellspring of client produced content and opinionative information. Utilizing web-based life, for example, Instagram, Facebook, twitter, etc., users share their views and feelings in an advantageous manner. Web-based social networking, for example, Instagram, Facebook, twitter, etc., where a huge number of individuals prompt their individual perspectives in their everyday communication, which may be their assumptions & sentiments about specific thing. These consistently developing emotional information are, without a doubt, an incredibly rich wellspring of data for any sort of basic leadership method. To computerize examination of such information, region of Sentiment Analysis has been developed. It goes for recognizing opinionative information in the Web & characterizing it as indicated by their polarities., regardless of whether they convey a positive/negative implication. Assessment Study is an issue of content-based examination, yet there are a few difficulties that make it troublesome when contrasted with conventional content-based investigation This unmistakably expresses there is need of an endeavor to move in the direction of these issues and it has opened up a few open doors for future research for taking care of refutations, concealed assumptions ID, slangs, polysemy. Be that as it may, the developing size of information requests programmed information examination strategies. In this paper, a literature review on various strategies utilized in the Sentiment Analysis is done to comprehend dimension of the work.
Keywords: Opinion Analysis, Social Media, Sentiment Analysis.
Scope of the Article:  Software Engineering Methodologies