Nowadays, with the radical growth of the Internet, worldwide online discussion forums have become a popular social mechanism for people to learn novel information and knowledge. Frequently asked questions (FAQs), which is a collection of questions commonly asked in the newsgroups along with presumably definitive answers, has become an important reference for readers to understand backgrounds of the newsgroup discussions and to locate their desired answers, if any. The construction of FAQs, however, is prone to errors and time-consuming. Approaches to supporting FAQ generation for administrators are desired to develop.
In this paper, we propose a four-step approach to supporting the FAQ list generation based on question/answer pairs collected from newsgroup discussions without labor-intensive processes. Texts are processed, and keywords along with synonyms in context are extracted from the answer part. Cluster analysis helps to identify the answer clusters and the corresponding question clusters are formed accordingly. Representative contents of the answer clusters and the question clusters are finally extracted to support administrators to generate FAQs.
Our approach is applied in a real-world case where data are collected from the newsgroup in Usenet. FAQ in a primitive form is constructed using our approach. Evaluations are the performed with satisfactory results. The feasibility of our proposed approach is thus justified.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0629103-175637 |
| Date | 29 June 2003 |
| Creators | Yeh, Fei |
| Contributors | Wen-Feng Hsiao, Bin-Yang Liu, Te-Min Chang |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0629103-175637 |
| Rights | campus_withheld, Copyright information available at source archive |
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