Visualization of Real-time Twitter Data based on Sentiment Classification
Susmitha Peeka1, Sabiya Tabassum2, Dhanushya Pallem3, Sowmya Aravapalli4, M. Sobhana5
1Susmitha Peeka*, CSE, V R Siddhartha Engineering College, Vijayawada, India.
2Sabiya Tabassum, CSE, V R Siddhartha Engineering College, Vijayawada, India.
3Dhanushya Pallem, CSE, V R Siddhartha Engineering College, Vijayawada, India.
4Sowmya Aravapalli, CSE, V R Siddhartha Engineering College, Vijayawada, India.
5Dr. M. Sobhana, Sr. Assistant Professor, CSE, V R Siddhartha Engineering College, Vijayawada, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 28, 2020. | Manuscript published on April 10, 2020. | PP: 1868-1872 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4533049620/2020©BEIESP | DOI: 10.35940/ijitee.F4533.049620
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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: Analyzing information from social media sites could bring great challenges and opportunities to solve many real time problems. It gives the public opinion about almost every product, personality or any service. The data from social networking sites is more accurate and useful to analyze the public sentiment about the trending topics. The activity of analyzing opinions, sentiments and also the subjectivity of data that is provided, is called sentiment analysis. Tweepy is an easy-to-use python library which is used to extract source data from twitter. From these tweets, features are extracted and then classified using Naïve Bayes algorithm to identify sentiment. This aims to provide an interactive automatic system which predicts the sentiment of the tweets posted in social media using python in real-time. These applications of sentiment analysis are broad and they tend to be very useful in today’s lifestyle. It will evaluate people’s sentiment about the trends, entertainment, political issues and products which helps to improve marketing strategies with the help of hashtags, keywords etc.
Keywords: Trending Topics, Real-time, Sentiment Analysis, Twitter, Python, Tweepy.
Scope of the Article: Data Analytics