Detecting malicious tweets in trending topics using a statistical analysis of language

Expert Systems with Applications

Volumn 40, Issue 8, 2013, Pages 2992-3000

  Martinez Romo, Juan ^a   Araujo, Lourdes ^a  

^a UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA   (Spain)

Author keywords

Machine learning; Social network; Spam detection; Statistical natural language processing

Indexed keywords

F-MEASURE; LARGE DATASET; MICROBLOGGING; REAL TIME; SETS OF FEATURES; SOCIAL NETWORKS; SPAM DETECTION; SPAMMERS; STATE-OF-THE-ART SYSTEM; STATISTICAL NATURAL LANGUAGE PROCESSING; TRENDING TOPICS;

LEARNING ALGORITHMS; LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); STATISTICAL METHODS;

INTERNET;

EID: 84874648289     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.12.015     Document Type: Article

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