Sentiment Classification System of Twitter Data using Python
G. Adhithya Balaji1, Rashmita Khilar2
1G. Adhithya Balaji*, Department of Information Technology, Saveetha School of Engineering, Chennai, Tamil Nadu, India.
2Rashmita Khilar, Department of Information Technology, Saveetha School of Engineering, Chennai, Tamil Nadu, India.
Manuscript received on February 02, 2020. | Revised Manuscript received on February 10, 2020. | Manuscript published on March 30, 2020. | PP: 1042-1044 | Volume-8 Issue-6, March 2020. | Retrieval Number: F7348038620/2020©BEIESP | DOI: 10.35940/ijrte.F7348.038620
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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 has developed drastically over the years. These days, individuals from all around the globe utilize online networking destinations to share data and information. Twitter is a well known communication site where users update information or messages known as tweets. Users share their day by day lives, post their opinions on everything, for example, brands and places. Various purchasers and advertisers utilize these tweets to accumulate bits of knowledge of their items and opinions on them. The aim of this paper is to exhibit a model that can perform sentiment analysis of real-time data collected from twitter and classify the tweets into positive, negative or neutral based on the sentiment expressed in them.
Keywords: Sentimental Analysis, Opinion, Twitter, Tweets.
Scope of the Article: Classification.