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Aspect extraction in sentiment analysis for portuguese language

Balage Filho, Pedro Paulo

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Título:
Aspect extraction in sentiment analysis for portuguese language
Autor: Balage Filho, Pedro Paulo
Orientador: Pardo, Thiago Alexandre Salgueiro
Assuntos: Análise De Sentimentos; Análise De Sentimentos Orientada A Aspectos; Mineração De Opiniões; Aspect-Based Sentiment Analysis; Opinion Mining; Sentiment Analysis
Notas: Tese (Doutorado)
Descrição: 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.
DOI: 10.11606/T.55.2017.tde-05122017-140435
Editor: Biblioteca Digital de Teses e Dissertações da USP; Universidade de São Paulo; Instituto de Ciências Matemáticas e de Computação
Data de criação/publicação: 2017-08-29
Formato: Adobe PDF
Idioma: Inglês

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