Combining semantic and term frequency similarities for text clustering

Author:

Soares Victor Hugo Andrade,Campello Ricardo J. G. B.,Nourashrafeddin Seyednaser,Milios Evangelos,Naldi Murilo Coelho

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Fundação de Amparo à Pesquisa do Estado de São Paulo

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference54 articles.

1. Aggarwal CC, Zhai CX (2012) Mining text data. Springer, Berlin

2. Arora S, Liang Y, Ma T (2017) A simple but tough-to-beat baseline for sentence embeddings. In: International conference on learning representations

3. Banerjee S, Pedersen T (2003) Extended gloss overlaps as a measure of semantic relatedness. In: Proceedings of the 18th international joint conference on artificial intelligence, IJCAI’03. Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, pp 805–810. http://dl.acm.org/citation.cfm?id=1630659.1630775 . Accessed 24 Sept 2018

4. Beyer KS, Goldstein J, Ramakrishnan R, Shaft U (1999) When is ”nearest neighbor” meaningful? In: Proceedings of the 7th international conference on database theory, ICDT ’99. Springer, London, UK, pp 217–235

5. Bishop CM (2006) Pattern recognition and machine learning. No. 4 in Information science and statistics, Springer. https://doi.org/10.1117/1.2819119 . http://www.library.wisc.edu/selectedtocs/bg0137.pdf . ISBN: 0-387-31073-8. Accessed 24 Sept 2018

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