Abstract
Rapid growth of blogs in the Web 2.0 and the handshaking between multilingual search and sentiment analysis motivate us to develop a blog based emotion analysis system for Bengali. The present paper describes the identification, visualization and tracking of bloggers’ emotions with respect to time from Bengali blog documents. A simple pre-processing technique has been employed to retrieve and store the bloggers’ comments on specific topics. The assignment of Ekman’s six basic emotions to the bloggers’ comments is carried out at word, sentence and paragraph level granularities using the Bengali WordNet Affect Lists. The evaluation produces the precision, recall and F-Score of 59.36%, 64.98% and 62.17% respectively for 1100 emotional comments retrieved from 20 blog documents. Each of the bloggers’ emotions with respect to different timestamps is visualized by an emotion graph. The emotion graphs of 20 bloggers demonstrate that the system performs satisfactorily in case of emotion tracking.
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Das, D., Roy, S., Bandyopadhyay, S. (2012). Emotion Tracking on Blogs - A Case Study for Bengali. In: Jiang, H., Ding, W., Ali, M., Wu, X. (eds) Advanced Research in Applied Artificial Intelligence. IEA/AIE 2012. Lecture Notes in Computer Science(), vol 7345. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31087-4_47
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DOI: https://doi.org/10.1007/978-3-642-31087-4_47
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