Concept-Level Sentiment Analysis with Dependency-Based Semantic Parsing: A Novel Approach

Cognitive Computation

Volumn 7, Issue 4, 2015, Pages 487-499

  Agarwal, Basant ^a   Poria, Soujanya ^b   Mittal, Namita ^a   Gelbukh, Alexander ^c   Hussain, Amir ^b  

^a MALAVIYA NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^b UNIVERSITY OF STIRLING   (United Kingdom)

^c INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

ConceptNet; Dependency rules; Minimum Redundancy and Maximum Relevance feature selection; Semantic parser; Sentiment analysis

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; DATA MINING; EXTRACTION; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; REDUNDANCY; REVIEWS; SEMANTICS;

CONCEPTNET; DEPENDENCY RULES; MACHINE LEARNING APPROACHES; MACHINE LEARNING MODELS; RELEVANCE FEATURE SELECTIONS; SENTIMENT ANALYSIS; STATE-OF-THE-ART METHODS; UNSTRUCTURED NATURAL LANGUAGE;

FEATURE EXTRACTION;

EID: 84937638464     PISSN: 18669956     EISSN: 18669964     Source Type: Journal    
DOI: 10.1007/s12559-014-9316-6     Document Type: Article

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