Mining Twitter for suicide prevention

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8455 LNCS, Issue , 2014, Pages 250-253

  Abboute, Amayas ^a   Boudjeriou, Yasser ^a   Entringer, Gilles ^a   Azé, Jérôme ^a   Bringay, Sandra ^a,b   Poncelet, Pascal ^a  

^a CNRS   (France)

^b UNIVERSITÉ PAUL VALÉRY   (France)

Author keywords

Classification; Suicide; Tweets

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION SYSTEMS; RISK PERCEPTION; SOCIAL NETWORKING (ONLINE);

CLASSIFICATION METHODS; ECONOMIC BURDEN; REAL DATA SETS; SOCIAL ISSUES; SOCIO-ECONOMIC CONSEQUENCES; SUICIDE; TWEETS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84958531952     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-07983-7_36     Document Type: Conference Paper

References (4)

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3. Roche, M., Garbasevschi, O.M.: WeMiT: Web-Mining for Translation. In: Conference on Prestigious Applications of Intelligent Systems, Montpellier, France, pp. 993-994 (August 2012
4. Mohammad, S.M., Turney, P.D.: Emotions Evoked by Common Words and Phrases: Using Mechanical Turk to Create an Emotion Lexicon. In: Workshop on Computational Approaches to Analysis and Generation of Emotion in Text, pp. 26-34. ACL, Stroudsburg (2010