Abstract
There are lots of works that can be found on sentiment analysis by using various data mining tools. In most of the cases, product evaluations, measurement of sentiment polarity, detection of illness, etc., have been done by this method of analysis. In this paper, we have taken an approach of graph-based analysis of sentiments from social media like Twitter to detect and prevent the cyberbullicide ideation.
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Chatterjee, A., Das, A. (2020). Temporal Sentiment Analysis of the Data from Social Media to Early Detection of Cyberbullicide Ideation of a Victim by Using Graph-Based Approach and Data Mining Tools. In: Bhattacharyya, S., Mitra, S., Dutta, P. (eds) Intelligence Enabled Research. Advances in Intelligent Systems and Computing, vol 1109. Springer, Singapore. https://doi.org/10.1007/978-981-15-2021-1_12
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DOI: https://doi.org/10.1007/978-981-15-2021-1_12
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