Soares et al., 2019 - Google Patents
Combining semantic and term frequency similarities for text clusteringSoares 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 …
- 238000000528 statistical test 0 abstract description 3
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
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- G06F17/30705—Clustering or classification
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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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