Enriching semantic knowledge bases for opinion mining in big data applications

Knowledge-Based Systems

Volumn 69, Issue 1, 2014, Pages 78-85

  Weichselbraun, A ^a   Gindl, S ^b   Scharl, A ^b  

^a University of Applied Sciences HTW Chur   (Switzerland)

^b MODUL UNIVERSITY VIENNA   (Austria)

Author keywords

Big data; Common sense knowledge; Concept grounding; Contextualization; Disambiguation; Knowledge extraction; Opinion mining; Sentiment analysis; Social web; Web intelligence

Indexed keywords

CONCENTRATION (PROCESS); DATA MINING; NATURAL LANGUAGE PROCESSING SYSTEMS; QUALITY CONTROL; SEMANTIC WEB; SEMANTICS; SOCIAL NETWORKING (ONLINE);

COMMONSENSE KNOWLEDGE; CONTEXTUALIZATION; DISAMBIGUATION; KNOWLEDGE EXTRACTION; OPINION MINING; SENTIMENT ANALYSIS; SOCIAL WEBS; WEB INTELLIGENCE;

BIG DATA;

EID: 84924574384     PISSN: 09507051     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.knosys.2014.04.039     Document Type: Article

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