Identifying User Issues and Request Types in Forum Question Posts Based on Discourse Analysis.

WWW '16: 25th International World Wide Web Conference Montréal Québec Canada April, 2016(2016)

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Abstract
In this paper we propose the detection of user issues and request types in technical forum question posts with a twofold purpose: supporting up-to-date knowledge generation in organizations that provide (semi-) automated customer-care services, and enriching forum metadata in order to enhance the effectiveness of search. We present a categorization system for detecting the proposed question post types based on discourse analysis, and show the advantage of using discourse patterns compared to a baseline relying on standard linguistic features. Besides the detailed description of our method, we also release our annotated corpus to the community.
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Key words
discourse analysis,forum question posts,request types,user issues
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