A new hybrid semi-supervised algorithm for text classification with class-based semantics

Vector Space Models (VSM) are commonly used in language processing to represent certain aspects of natural language semantics. Semantics of VSM comes from the distributional hypothesis, which states that words that occur in similar contexts usually have similar meanings. In our previous work, we pro...

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Vydané v:	Knowledge-based systems Ročník 108; s. 50 - 64
Hlavní autori:	Altınel, Berna, Ganiz, Murat Can
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier B.V 15.09.2016
Predmet:	Class-based transformations Semantic smoothing kernel Semantics Semi-supervised classification Text classification Semi-supervised classification Class-based transformations Semantics Semantic smoothing kernel Text classification
ISSN:	0950-7051, 1872-7409
On-line prístup:	Získať plný text
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