BooViews : Aspect-based Sentiment Analysis on Product Reviews combining SVM and CRF in Portuguese

G. Nobre; Alan Justino; Fernando Tadao; Danilo Nunes; D. Takabayashi; Rayssa Küllian

Corpus ID: 252997

BooViews : Aspect-based Sentiment Analysis on Product Reviews combining SVM and CRF in Portuguese

@inproceedings{Nobre2016BooViewsA,
  title={BooViews : Aspect-based Sentiment Analysis on Product Reviews combining SVM and CRF in Portuguese},
  author={G. Nobre and Alan Justino and Fernando Tadao and Danilo Nunes and D. Takabayashi and Rayssa K{\"u}llian},
  year={2016}
}

G. Nobre, Alan Justino, +3 authors Rayssa Küllian

Published 2016

Customers use product reviews to gather opinion regarding a product before making a purchase decision. Reviews are available in several e-commerce businesses and wrote by real customers. Companies can use these reviews to harness consumer information by artificial intelligence algorithms and automatically extract product information, such as review polarity and product aspects. In this paper, we cover techniques to classify reviews polarity, extract product aspects and classify them. The… CONTINUE READING