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Soares et al., 2019 - Google Patents

Combining semantic and term frequency similarities for text clustering

Soares et al., 2019

Document ID
12341211780499701491
Author
Soares V
Campello R
Nourashrafeddin S
Milios E
Naldi M
Publication year
Publication venue
Knowledge and Information Systems

External Links

Snippet

A key challenge for document clustering consists in finding a proper similarity measure for text documents that enables the generation of cohesive groups. Measures based on the classic bag-of-words model take into account solely the presence (and frequency) of words …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
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    • G—PHYSICS
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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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