Using unsupervised information to improve semi-supervised tweet sentiment classification

Information Sciences

Volumn 355-356, Issue , 2016, Pages 348-365

  Da Silva, Nádia Félix Felipe ^a   Coletta, Luiz F S ^a   Hruschka, Eduardo R ^a   Hruschka, Estevam R ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF SÃO CARLOS   (Brazil)

Author keywords

Semi supervised learning; Tweet sentiment analysis

Indexed keywords

ALGORITHMS; DATA MINING; LEARNING ALGORITHMS; MATRIX ALGEBRA; NATURAL LANGUAGE PROCESSING SYSTEMS; SUPERVISED LEARNING;

CLASSIFICATION MODELS; LABELED AND UNLABELED DATA; REAL-WORLD DATASETS; SEMI- SUPERVISED LEARNING; SENTIMENT ANALYSIS; SENTIMENT CLASSIFICATION; SIMILARITY MATRIX; SUPERVISED ALGORITHM;

CLASSIFICATION (OF INFORMATION);

EID: 84985027676     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2016.02.002     Document Type: Article

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