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International Journal of Soft Computing

Year: 2017  |  Volume: 12  |  Issue: 1  |  Page No.: 31 - 44

Quality-Based Text Web Forum Summarization-A Review

Akram Osman Yousaf Osman, Naomie Salim and Faisal Saeed

Abstract

Text web forum summarization assists users to manage the vast amount of available information online, by condensing thread contents and extracting the most relevant facts or topics. Accordingly, the text web forum has become a valuable source of knowledge. Forums contain testimonies from people who have had both positive and negative experiences. Regrettably, the text web forum suffers from unavoidable problems including irrelevance of posts, repeated text and non-quality information values. Furthermore, a user needs to read quality information from text web forums according to his/her needs. This study reviews the respective summarization of the text web forum and quality dimensions of the text web forum. And how quality can be improved the text web forum summarization. Therefore, the studies of summary evaluation methods are also conducted in this study. So, the evaluation can be later used to evaluate whether incorporating quality can improve text web forum summarization.

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