Combining semantic and term frequency similarities for text clustering

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

doi:10.1007/s10115-018-1278-7

Combining semantic and term frequency similarities for text clustering

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

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Research output: Contribution to journal › Article › peer-review

22 Citations (Scopus)

Original language	English
Pages (from-to)	1485-1516
Number of pages	32
Journal	Knowledge and Information Systems
Volume	61
Issue number	3
DOIs	https://doi.org/10.1007/s10115-018-1278-7
Publication status	Published - Dec 1 2019

ASJC Scopus Subject Areas

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

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title = "Combining semantic and term frequency similarities for text clustering",

author = "Soares, {Victor Hugo Andrade} and Campello, {Ricardo J.G.B.} and Seyednaser Nourashrafeddin and Evangelos Milios and Naldi, {Murilo Coelho}",

note = "Funding Information: The authors acknowledge the Brazilian Research Agencies Coordena{\c c}{\~a}o de Aperfei{\c c}oamento de Pessoal de N{\'i}vel Superior (CAPES)—Finance Code 001, CNPq, FAPEMIG and FAPESP, the Natural Sciences and Engineering Research Council of Canada, the Boeing Company, CALDO, and the International Development Research Centre, Ottawa, Canada, for their financial support to this work. Publisher Copyright: {\textcopyright} 2019, Springer-Verlag London Ltd., part of Springer Nature.",

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AU - Soares, Victor Hugo Andrade

AU - Campello, Ricardo J.G.B.

AU - Nourashrafeddin, Seyednaser

AU - Milios, Evangelos

AU - Naldi, Murilo Coelho

N1 - Funding Information: The authors acknowledge the Brazilian Research Agencies Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)—Finance Code 001, CNPq, FAPEMIG and FAPESP, the Natural Sciences and Engineering Research Council of Canada, the Boeing Company, CALDO, and the International Development Research Centre, Ottawa, Canada, for their financial support to this work. Publisher Copyright: © 2019, Springer-Verlag London Ltd., part of Springer Nature.

PY - 2019/12/1

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JO - Knowledge and Information Systems

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Combining semantic and term frequency similarities for text clustering

ASJC Scopus Subject Areas

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