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Sentiment Analysis of Swachh Bharat Abhiyan


Affiliations
1 School of Management Studies, Punjabi University, Patiala, Punjab, India
     

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The present paper is about the social media analytics. It is a new tool to analyse the behaviour of the users who use social networking sites and other social sites like blogs, forums etc. Every organisation uses this tool to analyse their customers. Even the government agencies are using these analytical tools to get the feedback of their newly launched missions and their policies. In this paper the sentiment analysis of Swachh Bharat Abhiyan is done with the help of tweets extracted from twitter. Tweets regarding Swachh Bharat Abhiyan are extracted with the help of an open source software R-studio. The geo-locations of tweets are also extracted in the software and the results are plotted on the map of India. The pattern of tweets is analysed and the popularity of the mission is evaluated. The word cloud of the popular and the most used words is also formed in the R-studio software. With the overall analysis, the popularity of the mission is perceived according the regions on the map of India, and the strategies can be applied to popularize the campaign in the lesser known regions of India.

Keywords

Swachh Bharat, Word Cloud, Geo-Location, Campaign.
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  • Sentiment Analysis of Swachh Bharat Abhiyan

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Authors

Sahil Raj
School of Management Studies, Punjabi University, Patiala, Punjab, India
Tanveer Kajla
School of Management Studies, Punjabi University, Patiala, Punjab, India

Abstract


The present paper is about the social media analytics. It is a new tool to analyse the behaviour of the users who use social networking sites and other social sites like blogs, forums etc. Every organisation uses this tool to analyse their customers. Even the government agencies are using these analytical tools to get the feedback of their newly launched missions and their policies. In this paper the sentiment analysis of Swachh Bharat Abhiyan is done with the help of tweets extracted from twitter. Tweets regarding Swachh Bharat Abhiyan are extracted with the help of an open source software R-studio. The geo-locations of tweets are also extracted in the software and the results are plotted on the map of India. The pattern of tweets is analysed and the popularity of the mission is evaluated. The word cloud of the popular and the most used words is also formed in the R-studio software. With the overall analysis, the popularity of the mission is perceived according the regions on the map of India, and the strategies can be applied to popularize the campaign in the lesser known regions of India.

Keywords


Swachh Bharat, Word Cloud, Geo-Location, Campaign.

References