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A Survey on Online User Aggression: Content Detection and Behavioural Analysis on Social Media Platforms
Recognizing the societal risks associated with unchecked aggressive content, this paper delves into the field of Aggression Content Detection and Behavioral Analysis of Aggressive Users, aiming to bridge the gap between disparate studies.
Researchers eye-view of sarcasm detection in social media textual content
The enormous use of sarcastic text in all forms of communication in social media will have a physiological effect on target users.
Polarity based Sarcasm Detection using Semigraph
The proposed method is to obtain the sarcastic and non-sarcastic polarity scores of a document using a semigraph.
Thematic context vector association based on event uncertainty for Twitter
The extraction of keywords with respective contextual events in Twitter data is a big challenge.
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