Publication Bibtex

Aspect Extraction in Sentiment Analysis for Portuguese Language (bibtex)
by Balage Filho, Pedro Paulo
Abstract:
Aspect-based sentiment analysis is the field of study which extracts and interpret the sentiment, usually classified as positive or negative, towards some target or aspect in an opinionated text. This doctoral dissertation details an empirical study of techniques and methods for aspect extraction in aspect-based sentiment analysis with the focus on Portuguese. Three different approaches were explored: frequency-based, relation-based and machine learning. In each one, this work shows a comparative study between a Portuguese and an English corpora and the differences found in applying the approaches. In addition, richer linguistic knowledge is also explored by using syntatic dependencies and semantic roles, leading to better results. This work lead to the establishment of new benchmarks for the aspect extraction in Portuguese.Pages=74

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Reference:
P. P. Balage Filho, "Aspect Extraction in Sentiment Analysis for Portuguese Language", PhDThesis, Universidade de São Paulo, 2017.
Bibtex Entry:
@PhDThesis{Balage2017Aspect,
  Title                    = {Aspect Extraction in Sentiment Analysis for Portuguese Language},
  Author                   = {Balage Filho, Pedro Paulo},
  School                   = {Universidade de S\~{a}o Paulo},
  year                     = {2017},
  Type                     = {PhD Thesis},

  Abstract                 = {Aspect-based sentiment analysis is the field of study which extracts and interpret the sentiment, usually classified as positive or negative, towards some target or aspect in an opinionated text. This doctoral dissertation details an empirical study of techniques and methods for aspect extraction in aspect-based sentiment analysis with the focus on Portuguese. Three different approaches were explored: frequency-based, relation-based and machine learning. In each one, this work shows a comparative study between a Portuguese and an English corpora and the differences found in applying the approaches. In addition, richer linguistic knowledge is also explored by using syntatic dependencies and semantic roles, leading to better results. This work lead to the establishment of new benchmarks for the aspect extraction in Portuguese.}
  Pages                    = {74},
  PDF                      = {http://pedrobalage.com/pubs/BalageFilho2017AspectExtractionThesis.pdf},
  Slides                   = {http://pedrobalage.com/pubs/BalageFilho2017AspectExtractionSlides.pdf}
}
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