Opinion mining from web documents: Extraction and structurization

Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto

Research output: Contribution to journalArticlepeer-review

18 Citations (Scopus)

Abstract

The task of opinion extraction and structurization is the key component of opinion mining, which allow Web users to retrieve and summarize people's opinions scattered over the Internet. Our aim is to develop a method for extracting opinions that represent evaluation of concumer products in a structured form. To achieve the goal, we need to consider some issues that are relevant to the extraction task: How the task of opinion extraction and structurization should be designed, and how to extract the opinions which we defined. We define an opinion unit consisting of a quadruple, that is, the opinion holder, the subject being evaluated, the part or the attribute in which it is evaluated, and the evaluation that expresses positive or negative assessment. In this task, we focus on two subtasks (a) extracting subject/aspect-evaluation relations, and (b) extracting subject/aspect-aspect relations, we approach each extraction task using a machine learning-based method. In this paper, we discuss how customer reviews in web documents can be best structured. We also report on the results of our experiments and discuss future directions.

Original languageEnglish
Pages (from-to)227-237
Number of pages11
JournalTransactions of the Japanese Society for Artificial Intelligence
Volume22
Issue number2
DOIs
Publication statusPublished - 2007

Keywords

  • Information extraction
  • Opinion mining
  • Relation extraction
  • Sentiment analysis

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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