Modelling Rajasthan Assembly Election: Sentimental Analysis of Rajasthan Political Twitter Data

5 Pages Posted: 14 Jun 2019

See all articles by Monika Rathore

Monika Rathore

Rajasthan Technical University

Harshita Bhati

Rajasthan Technical University

Shashank Goswami

Rajasthan Technical University (RTU)

Date Written: March 31, 2019

Abstract

With emergence of social media, data is growing daily exponentially. Various stakeholders processing this data and creating application to cater the need of different sections of the society. From last two years world has witness how fate of two countries changed by social media by changing voters’ choices. Social analyst are now using social media and work for different political parties to influence local voters by sharing their ideologies, work and manifestos. This paper works on data of 2018 election and confined to Rajasthan state where data of tweeter was collected belonging to party chief person, political pages and analyses them using python tweepy api. Paper also use KNN algorithm to trace out the type of text or hashtags trending during elections and try to decode the ideology behind these texts and find out how tweets sentiments work and influence people.

Suggested Citation

Rathore, Monika and Bhati, Harshita and Goswami, Shashank, Modelling Rajasthan Assembly Election: Sentimental Analysis of Rajasthan Political Twitter Data (March 31, 2019). Proceedings of International Conference on Sustainable Computing in Science, Technology and Management (SUSCOM), Amity University Rajasthan, Jaipur - India, February 26-28, 2019. Available at SSRN: https://ssrn.com/abstract=3363097 or http://dx.doi.org/10.2139/ssrn.3363097

Monika Rathore (Contact Author)

Rajasthan Technical University ( email )

India

Harshita Bhati

Rajasthan Technical University ( email )

India

Shashank Goswami

Rajasthan Technical University (RTU)

Kota
India

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