Sentiment Analysis of Twitter Accounts using Natural Language Processing
Nafees Akhter Farooqui1, Ritika2, Aayush Saini3
1Nafees Akhter Farooqui, Department of Computer Applications, DIT University, Dehradun (Uttarakhand), India.
2Ritika, Department of Computer Applications, DIT University, Dehradun (Uttarakhand), India.
3Aayush Saini, Department of Computer Applications, DIT University, Dehradun (Uttarakhand), India.
Manuscript received on 18 February 2019 | Revised Manuscript received on 27 February 2019 | Manuscript published on 28 February 2019 | PP: 473-479 | Volume-8 Issue-3, February 2019 | Retrieval Number: C576402831919/19©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: Every hour heaps of data are generated by blogs, social websites, and web pages. Many business houses gather all of this data to understand consumers, marketing strategies and their desires better and make appropriate changes to reshape the way businesses work. To extract information from this content, we need to rely on natural language processing (NLP) techniques. Many organizations want to get an overview of any policy or any product launched in the market. The overview of human sentiment can be calculated by using natural language processing through Python as it is a strong and easy language which is spreading across the globe covering its track in every sphere of modern technology.
Keywords: Modern Technology, Natural Language Processing, Python, Sentiments.
Scope of the Article: Natural Language Processing