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| Author(s): |
Pedro Paulo Balage Filho
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2017-08-29 |
| Examining board members: |
Thiago Alexandre Salgueiro Pardo;
Diego Raphael Amancio;
Flávia de Almeida Barros;
Osvaldo Novais de Oliveira Junior
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| Advisor: | Thiago Alexandre Salgueiro Pardo |
| 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. (AU) | |
| FAPESP's process: | 12/16131-4 - Aspect-based Sentiment Analysis: Information Extraction and Applications for Portuguese texts |
| Grantee: | Pedro Paulo Balage Filho |
| Support Opportunities: | Scholarships in Brazil - Doctorate |