A fine-grained sentiment analysis approach for detecting crisis related microposts

ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management

Volumn , Issue , 2013, Pages 846-851

  Schulz, Axel ^a   Thanh, Tung Dang ^a   Paulheim, Heiko ^b   Schweizer, Immanuel ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b UNIVERSITY OF MANNHEIM   (Germany)

Author keywords

Emergency management; Machine learning; Microposts; Sentiment analysis; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; INFORMATION SYSTEMS; LEARNING SYSTEMS; RISK MANAGEMENT; SOCIAL NETWORKING (ONLINE);

AMOUNT OF INFORMATION; EMERGENCY MANAGEMENT; MICROPOSTS; REAL-TIME INFORMATION; SENTIMENT ANALYSIS; SITUATIONAL AWARENESS; SYSTEMATIC EVALUATION; TWITTER;

DATA MINING;

EID: 84905665935     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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