Name
Abstract | ||
|---|---|---|
We propose a method to calculate the attribute's intensity of an object from multiple opinions. The intensity is calculated by min-max inference and the membership value of each degree group is obtained from the rate of collected opinions. The rate is calculated considering to the reliability of each opinion which are extracted from evaluative sentences on the Internet. Extracting the opinions from sentences, classifying the opinions into four degree groups, and applying the reliabilities of the opinions are done based on the grammatical features. Furthermore, in order to deal with such degree expression and reliability expression, we define a quintuplet dataset which consists of “evaluative subject,” “focused attribute,” “orientation expression,” “degree expression,” and “reliability expression.” |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11552413_128 | KES |
Keywords | Field | DocType |
internet,grammar,artificial intelligence,fuzzy logic,reliability | Epistemic modality,Pattern recognition,Inference,Computer science,Fuzzy inference,Fuzzy logic,Phrase,Grammar,Artificial intelligence,Membership function,Sentence | Conference |
Volume | ISSN | ISBN |
3681 | 0302-9743 | 3-540-28894-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuya Mera | 1 | 10 | 6.46 |
| Hiromi Yano | 2 | 0 | 0.34 |
| Takumi Ichimura | 3 | 120 | 35.31 |