Bootstrapping polarity classifiers with rule-based classification.

In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules. The benefit of this method is that th...

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Detalles Bibliográficos

Publicado en:	Language Resources & Evaluation Vol. 47; no. 4; pp. 1049 - 1089
Autores principales:	Wiegand, Michael, Klenner, Manfred, Klakow, Dietrich
Formato:	Artículo
Publicado:	Springer Nature Dec2013
Materias:	Polarity (Linguistics) Statistical bootstrapping Rule-based programming Feature selection Sentiment analysis
Acceso en línea:	Ver este registro en EBSCOhost