Syntactic N-grams as machine learning features for natural language processing
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Predicting probable Alzheimer's disease using linguistic deficits and biomarkersMultilingual Sentiment Analysis: State of the Art and Independent Comparison of TechniquesErratum to: Multilingual Sentiment Analysis: State of the Art and Independent Comparison of TechniquesConcept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach
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Syntactic N-grams as machine learning features for natural language processing
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wetenschappelijk artikel
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наукова стаття, опублікована в лютому 2014
@uk
name
Syntactic N-grams as machine learning features for natural language processing
@en
Syntactic N-grams as machine learning features for natural language processing
@nl
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Syntactic N-grams as machine learning features for natural language processing
@en
Syntactic N-grams as machine learning features for natural language processing
@nl
prefLabel
Syntactic N-grams as machine learning features for natural language processing
@en
Syntactic N-grams as machine learning features for natural language processing
@nl
P2093
P1476
Syntactic N-grams as machine learning features for natural language processing
@en
P2093
Francisco Velasquez
Grigori Sidorov
Liliana Chanona-Hernández
P304
P356
10.1016/J.ESWA.2013.08.015
P577
2014-02-01T00:00:00Z