Text Mining for Customer Enquiries in Telecommunication Services

Author:

Iwashita Motoi,Shimogawa Shinsuke,Nishimatsu Ken

Publisher

Springer Berlin Heidelberg

Reference13 articles.

1. Ohsumi, N.: Mining of textual data. Recent trend and its direction, http://wordminer.comquest.co.jp/wmtips/pdf/20060910_1.pdf

2. Sato, S., Fukuda, K., Sugawara, S., Kurihara, S.: On the relationship between word bursts in document streams and clusters in lexical co-occurrence networks. IPSJ 48-SIG14, 69–81 (2007)

3. Sullivan, D.: Document Warehousing and Text Mining. John Wiley, Chichester (2001)

4. Toda, H., Kataoka, R., Kitagawa, H.: Clustering news articles using named entities. IPSJ SIG Technical Report, 2005-DBS-137, pp.175–181 (2005)

5. Takahashi, S., Takahashi, S., Yasuda, N., Takahata, N., Ishikawa, T.: A Meaningful Keywords Extracting system based on A Sentence-Semantic Analysis Method. In: IPSJ, AI TR, vol. 90-8, pp. 65–72 (1992)

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