Abstract
With the widespread acceptability of social media and networking sites, more and more people are coming forward to express their views and opinion about multidisciplinary topics. Nevertheless, people do talk about politics and politicians on these sites enabling us to explore the opportunity of monitoring and mining the opinions of large number of politically active population in real time. In this paper, we have tried to analyze a very famous micro-blogging online social network Twitter, where users read and write millions of short messages known as tweets on a variety of topics every day. We conducted the content analysis of over 0.25 million tweets containing a reference to either a political party or a politician for election which were being conducted in April 2014 in India. Our analysis for tweets indicated a very close connection to the parties and political position of politicians thus, can conceivably imitate the offline landscape of the elections. Finally, we discuss the use of micro-blogging message content as a legitimate pointer of political sentiments and develop suggestions for the future research.
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Mehndiratta, P., Sachdeva, S., Sachdeva, P., Sehgal, Y. (2014). Elections Again, Twitter May Help!!! A Large Scale Study for Predicting Election Results Using Twitter. In: Srinivasa, S., Mehta, S. (eds) Big Data Analytics. BDA 2014. Lecture Notes in Computer Science, vol 8883. Springer, Cham. https://doi.org/10.1007/978-3-319-13820-6_11
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DOI: https://doi.org/10.1007/978-3-319-13820-6_11
Publisher Name: Springer, Cham
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