Name
Abstract | ||
|---|---|---|
In this paper, an automatic collection system is proposed that can extract unique keywords appearing in websites belonging to a specific category and that can use these keywords to classify websites into tourism-related categories to establish a dynamic tourism-related Internet directory. First, the keyword extraction algorithm is explained and many tourism-related websites are gathered from the directory-based search engine ?Yahoo! Japan?. Then these sites are classified into categories by applying the proposed algorithm. The experimental results show that the proposed method can classify websites into proper categories with a high degree of precision, and that by setting a threshold evaluation value it can detect unrelated websites not classified in any category. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/3-211-32710-X_38 | ENTER |
Keywords | Field | DocType |
website,keyword extraction,web mining,automatic classification.,search engine,noun | Keyword density,Web mining,Search engine,Information retrieval,Directory,Keyword extraction,Computer science,Noun,Natural language processing,Artificial intelligence,The Internet | Conference |
Citations | PageRank | References |
1 | 0.38 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takatomo Honda | 1 | 1 | 0.38 |
| Masahito Yamamoto | 2 | 1 | 0.38 |
| Azuma Ohuchi | 3 | 386 | 68.99 |