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Volume 20 No 21 (2022)
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Hashtag Emotional Study using Hidden Linguistic Extraction for Textual Characterization of Internet Abusive Behaviour
Pawan Kuma
Abstract
To identify text's hidden linguistic elements and define online abuse, this paper presents a study of
hashtag emotions. The study's objective was to determine the emotional undertones of the hashtags used
in tweets about online abuse. The analysis of tweets gathered from Twitter was done manually and
automatically for the study. According to the study's findings, emotional emotions and hashtags are
strongly related. The hashtags used to express rage and displeasure were the ones most frequently
associated with online abuse. This study offers fresh information about how abusive online behaviour
can be recognised and described using hashtags.
Keywords
Abusive Behaviour, Emotional Study, Hidden Linguistic Extraction, Internet Textual Characterization.
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