Measuring Social Sarcasm on GST

E. S. Smitha, S. Sendhilkumar and G. S. Mahalaksmi ()
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E. S. Smitha: College Engineering Guindy, Anna University, Department of Information Science and Technology
S. Sendhilkumar: College Engineering Guindy, Anna University, Department of Information Science and Technology
G. S. Mahalaksmi: College Engineering Guindy, Anna University, Department of Computer Science

A chapter in New Trends in Computational Vision and Bio-inspired Computing, 2020, pp 1479-1486 from Springer

Abstract: Abstract Change in opinion on a particular topic of interest of people can be studied by analyzing their activities on social media. This can be achieved by gathering user opinion and mindset from their activities in social media, and display results by mapping their emotions in a series of interactive data visualizations. The proposed work shows the sentiment and mindset of people varies with time. This idea would be extremely useful, or provide interesting insights. Analyzing the success of a marketing campaign, predicting the result of an election, market research are some applications of this idea. This is quite a new area, and many researches are going on in this field.

Keywords: Automatic detection; Neural network; Public opinion; Sarcasm; Sentiment analyzis; Tweets (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-41862-5_152

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DOI: 10.1007/978-3-030-41862-5_152

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