Abstract
Automatic extraction of human opinions from Web documents has been receiving increasing interest. To automate the process of opinion extraction, having a collection of evaluative expressions such as "something is confortable" would be useful. However, it can be costly to manually create an exhaustive list of such expressions for many domains, because they tend to be domain-dependent. Motivated by this, we explored ways to accelerate the process of collecting evaluative expressions by applying a text mining technique. This paper proposes a semi-automatic method that uses particular cooccurrence patterns of evaluated subjects, focused attributes and value expressions.
| Original language | English |
|---|---|
| Pages (from-to) | 596-605 |
| Number of pages | 10 |
| Journal | Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) |
| Volume | 3248 |
| Publication status | Published - 2005 Oct 17 |
| Externally published | Yes |
| Event | First International Joint Conference on Natural Language Processing - IJCNLP 2004 - Hainan Island, China Duration: 2004 Mar 22 → 2004 Mar 24 |
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science(all)
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Cite this
Kobayashi, N., Inui, K., Matsumoto, Y., Tateishi, K., & Fukushima, T. (2005). Collecting evaluative expressions for opinion extraction. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), 3248, 596-605.