Abstract—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. SentiWordNet is a lexical resource for supporting opinion mining by assigning a positivity score and a negativity score to each WordNet. The approaches of the model measure and identify sentiment polarity and affect the intensity of that which appears in the web forum. The results show that SentiWordNet can be used for analyzing sentences that appear in web forums.
Index Terms—SentiWordNet, sentiment, analysis, web forums, radical.
Tawunrat Chalothorn and Jeremy Ellman are with Computing, Engineering & Information Sciences, University of Northumbria at Newcastle,Newcastle Upon Tyne, United Kingdom (e-mail: email@example.com).
Cite: Tawunrat Chalothorn and Jeremy Ellman, "Affect Analysis of Radical Contents on Web Forums Using SentiWordNet," International Journal of Innovation, Management and Technology vol. 4, no. 1, pp. 122-124, 2013.