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Volumn , Issue , 2013, Pages 459-460

Sentibank: Large-scale ontology and classifiers for detecting sentiment and emotions in visual content

Author keywords

Affect; Concept detection; Emotion; Ontology; Sentiment analysis; Social multimedia

Indexed keywords

AFFECT; CONCEPT DETECTION; EMOTION; SENTIMENT ANALYSIS; SOCIAL MULTIMEDIA;

EID: 84887475339     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2502081.2502268     Document Type: Conference Paper
Times cited : (179)

References (4)
  • 1
    • 84455201573 scopus 로고    scopus 로고
    • Affective image classification using features inspired by psychology and art theory
    • J. Machajdik and A. Hanbury. Affective Image Classification using Features inspired by Psychology and Art Theory. ACM MM, 2010.
    • (2010) ACM MM
    • Machajdik, J.1    Hanbury, A.2
  • 2
    • 84887486158 scopus 로고    scopus 로고
    • Can we understand van gogh's mood? Learning to infer affects from images in social networks
    • J. Jia et al. Can we Understand van Gogh's Mood? Learning to infer Affects from Images in Social Networks. ACM MM, 2012.
    • (2012) ACM MM
    • Jia, J.1
  • 4
    • 84887486275 scopus 로고    scopus 로고
    • Large-scale visual sentiment ontology and detectors using adjective noun pairs
    • D. Borth, R. Ji, T. Chen, T. Breuel, and S-F Chang Large-scale Visual Sentiment Ontology and Detectors Using Adjective Noun Pairs ACM MM, 2013.
    • (2013) ACM MM
    • Borth, D.1    Ji, R.2    Chen, T.3    Breuel, T.4    Chang, S.-F.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.