Abstract
In this paper we address the Sentiment Analysis problem from the end user’s perspective. An end user might desire an automated at-a-glance presentation of the main points made in a single review or how opinion changes time to time over multiple documents. To meet the requirement we propose a relatively generic opinion 5Ws structurization, further used for textual and visual summary and tracking. The 5W task seeks to extract the semantic constituents in a natural language sentence by distilling it into the answers to the 5W questions: Who, What, When, Where and Why. The visualization system facilitates users to generate sentiment tracking with textual summary and sentiment polarity wise graph based on any dimension or combination of dimensions as they want i.e. “Who” are the actors and “What” are their sentiment regarding any topic, changes in sentiment during “When” and “Where” and the reasons for change in sentiment as “Why”.
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Das, A., Bandyaopadhyay, S., Gambäck, B. (2012). The 5W Structure for Sentiment Summarization-Visualization-Tracking. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2012. Lecture Notes in Computer Science, vol 7181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28604-9_44
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DOI: https://doi.org/10.1007/978-3-642-28604-9_44
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