Using SentiWordNet and Sentiment Analysis for Detecting Radical Content on Web Forums
نویسندگان
چکیده
The internet has become a major tool for communication, training, fundraising, media operations, and recruitment, and these processes often use web forums. This paper presents a model that was built using SentiWordNet, WordNet and NLTK to analyze selected web forums that included radical content. The approaches of the model measure and identify sentiment polarity and affect the intensity of that which appears in the web forum.
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