Twitter Sentiment Analysis on GST tweets using R tool
Keywords:
Classification, Opinion mining, Sentiment analysis, Sentiment score, Support Vector MachineAbstract
The Goods and Services Tax (GST) has revolutionized the Indian taxation system. This creates a big change in the financial standards of India. Twitter is the ninth largest social networking website in the world, only because of people can share information by way of the short message up to 140 characters called tweets. Twitter is the best source for the sentiment and opinion analysis. The tweets are classified as positive or negative or neutral based on the sentiments. This analysis can be done by classifying the dataset using various Machine Learning Algorithms. One option to perform sentiment analysis in R is to calculate a sentiment score for each tweet. This paper presents the sentiment analysis on the current tweets related to GST.
References
- G. Vinodhini and RM. Chandrashekharan, "Sentiment Analysis and Opinion Mining: A Survey" – International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 6, June 2012.
- K.Arun, A.Srinagesh, M.Ramesh, "Twitter Sentiment Analysis on Demonetization tweets in India Using R language" International Journal of Computer Engineering In Research Trends, Volume 4, Issue 6, June-2017, pp. 252-258.
- Bharat R.Naiknaware, Seema Kawathekar, Sachin N.Deshmukh "Sentiment Analysis of Indian Government Schemes Using Twitter Datasets", IOSR Journal of Computer Engineering, e-ISSN: 2278-0661, p-ISSN: 2278-8727, PP 70-78.
- Karthik Ganesan, Akhilesh P Patil, Srinidhi Hiriyannaiah, "Predictive Analysis of Tweets on Goods and Services Tax(GST) in India using Machine Learning", International Journal of Engineering Technology, Management and Applied Sciences, August 2017, Volume 5, Issue 8, ISSN 2349-4476.
- Sajin. S. Chandran, Murugappan S., "A Review on Opinion Mining from Social Media Networks", European Journal of Scientific Research, pp.430-440, 3rd October, 2012.
- Ayesha Rashid1, Naveed Anwer2, Dr. Muddaser Iqbal3, Dr. Muhammad Sher4 "A Survey Paper: Areas, Techniques and Challenges of Opinion Mining", IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 6, No 2, November 2013.
- Kirti Huda, Md Tabrez Nafis, Neshat Karim Shaukat, "Classification Technique for Sentiment Analysis of Twitter Data" , International Journal of Advanced Research in Computer Science, Volume 8, No. 5, May-June 2017 ISSN No. 0976-5697
- M. Govindarajan, Romina M, "A Survey of Classification Methods and Applications for Sentiment Analysis" – International Journal of Engineering and Science (IJES), Volume 2, Issue 12, 2013.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT
This work is licensed under a Creative Commons Attribution 4.0 International License.