Abstract
Internet has over the time become an important platform of discussion, in turn becoming a rich source of information, whose analysis can be of immense use to the concerned organizations. Acquiring such knowledge from the analysis of the data available over the Internet has facilitated their decisions whether to improve, modify or reorganize the product. As a prototype, Python Program has been used in this article to understand the operation of sentiment analysis on online data set such as available on Twitter, to identify tweets exuding violent tone and their polarity. The results obtained have been further analyzed to understand the utility of sentiment analysis in the modern world, and from the findings of the analysis, it is evident that there is indeed a reflection of increased inclination of tweets or expressions tendered by Twitter users on social platform of Twitter toward violence-oriented opinions.
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Sansanwal, K., Mittal, M., Goyal, L.M. (2020). Prediction of Rise in Violence Inclined Opinions: Utility of Sentiment Analysis in the Modern World. In: Bansal, J., Gupta, M., Sharma, H., Agarwal, B. (eds) Communication and Intelligent Systems. ICCIS 2019. Lecture Notes in Networks and Systems, vol 120. Springer, Singapore. https://doi.org/10.1007/978-981-15-3325-9_12
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