Investigation of contrastive summarization methods for Portuguese language

• Grant number: 17/12236-0
• Support Opportunities: Scholarships in Brazil - Master
• Start date: September 01, 2017
• End date: February 28, 2019
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
• Principal Investigator: Thiago Alexandre Salgueiro Pardo
• Grantee: Raphael Rocha da Silva
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil

Abstract

Opinion Mining area aims to assist the user/reader in the task of apprehending relevant and interesting content in a large set of information. With the interactivity and content production provided by Web 2.0, Opinion Summarization in particular has proved to be a relevant task. The summarization process synthesizes, in the form of a summary, user reviews of products, services, events and companies, among others, supporting the user in the decision process, for example, buying a specific smartphone model instead of other one. In this research plan, we propose the investigation of methods of contrastive opinion summarization, which, based on reviews of products written by web users, produce contrastive summaries of the evaluated aspects of products. This research, besides constituting a relatively new line in the area, is new for the Portuguese language. (AU)

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

SILVA, Raphael Rocha da. Contrastive Opinion Summarization. 2019. Master's Dissertation - Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) São Carlos.