ECNU: Multi-level Sentiment Analysis on Twitter Using Traditional Linguistic Features and Word Embedding Features

SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings

Volumn , Issue , 2015, Pages 561-567

  Zhang, Zhihua ^a   Wu, Guoshun ^a   Lan, Man ^a  

^a EAST CHINA NORMAL UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; REGRESSION ANALYSIS; SEMANTICS; SOCIAL NETWORKING (ONLINE);

EMBEDDINGS; EXPRESSION LEVELS; LINGUISTIC FEATURES; MULTILEVELS; POLARITY CLASSIFICATION; REGRESSION MODELLING; SENTIMENT ANALYSIS; SENTIMENT LEXICONS; SUBTASK; TRAINING DATA;

SENTIMENT ANALYSIS;

EID: 85122015485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

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