A survey and comparative study of tweet sentiment analysis via semi-supervised learning

ACM Computing Surveys

Volumn 49, Issue 1, 2017, Pages

  Da Silva, Nadia Felix F ^a,b   Coletta, Luiz F S ^a,b   Hruschka, Eduardo R ^a,b  

^a Institute of Mathematics and Computer Science   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

Co training; Self training; Semi supervised learning; Topic modeling; Tweet sentiment analysis

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; GRAPHIC METHODS; SUPERVISED LEARNING; SURVEYS;

CO-TRAINING; COMPARATIVES STUDIES; LABELED DATA; MICRO-BLOGGING PLATFORMS; SELF-TRAINING; SEMI-SUPERVISED LEARNING; SENTIMENT ANALYSIS; TOPIC MODELING; TWEET SENTIMENT ANALYSE; UNLABELED DATA;

SENTIMENT ANALYSIS;

EID: 84978162126     PISSN: 03600300     EISSN: 15577341     Source Type: Journal    
DOI: 10.1145/2932708     Document Type: Article

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