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Erschienen in:
2012 | OriginalPaper | Buchkapitel
The 5W Structure for Sentiment Summarization-Visualization-Tracking
verfasst von : Amitava Das, Sivaji Bandyaopadhyay, Björn Gambäck
Erschienen in: Computational Linguistics and Intelligent Text Processing
Verlag: Springer Berlin Heidelberg
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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
”.