Social Media Sentimental Research using Machine Learning Techniques
G. Manoj Naidu1, Bhuvaneswari Balachander2
1G. Manoj Naidu, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
2Ms. Bhuvaneswari Balachander, Saveetha Institute of Medical and Technical Sciences, Chennai (Tamil Nadu), India.
Manuscript received on 08 September 2019 | Revised Manuscript received on 17 September 2019 | Manuscript Published on 11 October 2019 | PP: 30-32 | Volume-8 Issue-11S September 2019 | Retrieval Number: K100609811S19/2019©BEIESP | DOI: 10.35940/ijitee.K1006.09811S19
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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 is the main resource to collect information about people opinion towards different topics as they spend most of their time on social media and share their thoughts. In this technical paper we present the applications of sentimental analysis. As we chosen twitter as our analysis platform we show how to connect to twitter and run analysis queries. We illustrate approach to issue with the model to different fields and show the best results.
Keywords: Social Media, Sentimental Analysis.
Scope of the Article: Social Networks