A Sentiment-Based Author Verification Model Against Social Media Fraud
conference of european society for fuzzy logic and technology(2021)
Abstract
The widespread and capability of Iot devices have made them a primary enabler for online fraud and fake authorship on social media. We present a novel approach, which uses sentiment analysis, to solve the problem of author verification in short text. We perform experimentation with our model on tweets, and show that it yields promising results.
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Key words
author verification model,social media,sentiment-based
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