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Volumn , Issue , 2017, Pages 953-958

SEMO: A semantic model for emotion recognition in web objects

Author keywords

Affective data; Artificial intelligence; Emotion recognition; Semantic similarity measures; Sentiment analysis; Web document retrieval

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA ACQUISITION; NATURAL LANGUAGE PROCESSING SYSTEMS; SEARCH ENGINES; SEMANTICS; SPEECH RECOGNITION; VECTOR SPACES;

EID: 85031022776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/3106426.3109417     Document Type: Conference Paper
Times cited : (28)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.