SentiLex-PT: Principais características e potencialidades
2015; University of Oslo; Volume: 7; Issue: 1 Linguagem: Inglês
10.5617/osla.1444
ISSN1890-9639
AutoresPaula Carvalho, Mário J. Silva,
Tópico(s)Topic Modeling
ResumoThis paper describes the main characteristics of SentiLex-PT, a sentiment lexicon designed for the extraction of sentiment and opinion about human entities in Portuguese texts. The potential of this resource is illustrated on its application to two types of corpora, the SentiCorpus-PT, a social media corpus, consisting of user comments to news articles, and a literary piece of the early twentieth century, The Poor (Os Pobres), by Raul Brandão. The data were processed by UNITEX, a natural language processing system based on dictionaries and grammars.
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