Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference65 articles.
1. Basili, R., Moschitti, A., & Pazienza, M. T. (1999). A text classifier based on linguistic processing.
2. Beil, F., Ester, M., & Xu, X. (2002). Frequent term-based text clustering. In Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 436–442.
3. Beliga, S., & Martinčić-Ipšić, S. (2014). Node selectivity as a measure for graph-based keyword extraction in croatian news. In Proceedings of the 6th international conference on information technologies and information society, Slovenia, pp. 8–17.
4. Biswas, S. K., Bordoloi, M., & Shreya, J. (2018). A graph based keyword extraction model using collective node weight. Expert Systems with Applications, 97, 51–59.
5. Brandes, U. (2001). A faster algorithm for betweenness centrality. Journal of Mathematical Sociology, 25(2), 163–177.
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