Short Text Document Clustering using Distributed Word Representation and Document Distance
This paper presents a method for clustering short text documents, such as instant messages, SMS, or news headlines. Vocabularies in the texts are expanded using external knowledge sources and represented by a Distributed Word Representation. Clustering is done using the K-means algorithm with Word M...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Walailak University
2018-03-01
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| coleção: | Walailak Journal of Science and Technology |
| Assuntos: | |
| Acesso em linha: | http://wjst.wu.ac.th/index.php/wjst/article/view/4133 |
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