Abstract
This paper proposes a support system for the information extraction from BBS (Bulletin Board System). On BBS in EC (Electronic Commerce) sites, participants who are consumers write frank opinions easily. This produces active conversation as enormous text data and includes unexpected opinions and consumers’ requirements. In this system, opinions on BBS are classified by topics and arranged on a 3-dimensional space so that users (for example product designers) can easily understand how topics are interwoven into conversations or how topics are related to each other. Furthermore, two methods using the feature of the conversation structure on BBS are proposed for correcting the recognition of opinions.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-0-387-35617-4_48
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© 2003 IFIP International Federation for Information Processing
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Hiramatsu, A., Nakae, T., Shibata, H., Komoda, N. (2003). An Information Extraction Support System from BBS Using Topic Mapping Based on Structure of Conversation with a 3-dimensional Space. In: Monteiro, J.L., Swatman, P.M.C., Tavares, L.V. (eds) Towards the Knowledge Society. IFIP — The International Federation for Information Processing, vol 105. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35617-4_18
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DOI: https://doi.org/10.1007/978-0-387-35617-4_18
Publisher Name: Springer, Boston, MA
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