Opinion Mining on PM?s “Man Ki Baat” using R Programming

Opinion Mining on PM?s “Man Ki Baat” using R Programming

  IJCTT-book-cover
 		 International Journal of Computer Trends and Technology (IJCTT)          
 
© 2018 by IJCTT Journal
Volume-59 Number-2
Year of Publication : 2018
Authors : Himani Tyagi, Puneet Bhardwaj
DOI :  10.14445/22312803/IJCTT-V59P111

MLA

Himani Tyagi, Puneet Bhardwaj "Opinion Mining on PM?s “Man Ki Baat” using R Programming". International Journal of Computer Trends and Technology (IJCTT) V59(2):68-72, May 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.

Abstract
The web is a repository that holds valuable, vast and unstructured information about public opinion toward social events, political events, company strategies, marketing campaigns, and product preferences. Many emerging social, geopolitical, and business-related research questions can be answered by analyzing thousands, of responses and reactions (positive, negative ,angry) expressed in various blogs (such as the blogosphere), social media and social networking sites (like YouTube, Facebook), virtual worlds such as tweets (Twitter). The datum generated every day is of high value and various meanings.

Reference
[1] Xing Fang, Justin Zhan, “Sentiment analysis using product review data, Journal of Big Data, 16 June 2015.
[2] Fiaidhi J, Mohammed O, Mohammed S, Fong S, Kim TH. Opinion mining over Twitter space: Classifying tweets programmatically using the R Approach. IEEE. 978-1-4673-2430-4/12.
[3] T. R. Foundation, "R: What is R?,". [Online]. Available: https://www.r-project.org/about.html
[4] Pooja Khanna , Sachin Kumar , Sumita Mishra, Anant Sinha “sentiment analysis: an approach to opinion mining from Twitter data using R”,IJARCS, Volume 8, No. 8,September-October 2017.
[5] Blog on term frequency and inverse document frequency: http://www.tfidf.com.
[6] Xin Chen, Student Member, IEEE, Mihaela Vorvoreanu, and Krishna Madhavan, “Mining Social Media Data for Understanding Students? Learning Experiences”,IEEE transactions on learning technologies,Vol. 7,No.3,July-September 2014.
[7] Y.Sandeep et al, “Methodological Study of Opinion Retrieval Techniques for Twitter Social Network”,International Conference on Circuit, Power and Computing Technologies [ICCPCT],2015.
[8] FissehaBerhane, “Sentiment Analysis on Donald Trump using R and Tableau ”, R news and tutorials contributed by (600) R bloggers , 2 January 2016.
[9] Shruti Kohli, Himani Singal, “Data Analysis with R”, IEEE/ACM 7th International Conference on Utility and Cloud Computing,2014.
[10] Article on Twitter Sentiment Analysis training dataset:http://thinknook.com/twitter-sentiment-analysistraining-corpus-dataset-2012-09-22.
[11] G.Vinodhini and R.Chandrasekaran „sentiment Analysis and opinion minning: A survey?, International Journal vol.2, 6,2012.

Keywords
opinion, mining, unstructured, virtual world, blogosphere