MoodLens: An emoticon-based sentiment analysis system for chinese tweets

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 1528-1531

  Zhao, Jichang ^a   Dong, Li ^a   Wu, Junjie ^a   Xu, Ke ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

chinese short text; online social media; sentiment analysis; weibo

Indexed keywords

CHINESE CORPUS; CHINESE SHORT-TEXT; CLASS LABELS; EMOTIONAL STATE; EXPLOSIVE GROWTH; FACTUAL INFORMATION; FIRST SYSTEMS; INCREMENTAL LEARNING; KEYWORD-BASED METHODS; NAIVE BAYES CLASSIFIERS; ONLINE SOCIAL NETWORKS; SENTIMENT ANALYSIS; SHIFT-AND; SOCIAL MEDIA; TEMPORAL AND SPATIAL PATTERN; USER BEHAVIORS; WEIBO;

BEHAVIORAL RESEARCH; CLASSIFIERS; LEARNING SYSTEMS; SOCIAL NETWORKING (ONLINE);

DATA MINING;

EID: 84866046990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339772     Document Type: Conference Paper

References (7)

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