Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.

We present the development and evaluation of a semantic analysis task that lies at the intersection of two very trendy lines of research in contemporary computational linguistics: (1) sentiment analysis, and (2) natural language processing of social media text. The task was part of SemEval, the Inte...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 50; no. 1; pp. 35 - 66
Autores principales:	Nakov, Preslav, Rosenthal, Sara, Kiritchenko, Svetlana, Mohammad, Saif, Kozareva, Zornitsa, Ritter, Alan, Stoyanov, Veselin, Zhu, Xiaodan
Formato:	Artículo
Publicado:	Springer Nature Mar2016
Materias:	Sentiment analysis Computational linguistics Natural language processing Semantics Microblogs Computer network resources
Acceso en línea:	Ver este registro en EBSCOhost