General Purpose Opinion Mining System for Social Media Platform using Machine Learning Based Api
Urmita Mehta1, Dhanraj Verma2
1Urmita Mehta, Assistant Professor in Department of Computer Science at S.J.H.S Gujarati Innovative College of Commerce and Science, Indore, India.
2Dhanraj Verma, Currently working as Professor in Department of Computer Science & Engineering, Dr APJ Abdul Kalam University, Indore, India.
Manuscript received on November 19, 2019. | Revised Manuscript received on November 29 2019. | Manuscript published on 30 November, 2019. | PP: 9727-9732 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9211118419/2019©BEIESP | DOI: 10.35940/ijrte.D9211.118419
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: With the growth of technology there is lot of data available on the internet. Social media platform like Twitter, FaceBook,Google+,whats app,instagram etc are the platform that allow people to share and express their views, ideas, thoughts and experiences about any topics, post messages across the world. There are mainly two types of textual information available on social media platforms. One is fact and another next one is sentiments or more formally it can also called opinion. The social media is a platform where people gives their opinion regularly. These opinions may contain some factual information. For the analysis of sentiments we required some tools. Mostly text based mining is used for opinion mining. Text mining required lots of different tools and research work. This paper, provides a machine learning techniques for opinion calculation in Twitter.
Keywords: Matplotlib, Nltk, Opinion Mining, Tkinter,
Scope of the Article: Machine Learning.