Presentation | 2005/7/25 Feature Analysis and Keyword Extraction for Automatic Classification of Web Site Takatomo HONDA, Masahito YAMAMOTO, Hidenori KAWAMURA, Azuma OHUCHI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A website is considered to be belonging to a certain category such as accommodations, restaurants, facilities and so on, as shown in the directory-typed search engines. Generally, a website includes valuable information such as links to or from other sites, many files with extensions and many text data, in terms of the category classification. In this paper, we investigate whether many websites belonging to a certain category have some common features or not. In particular, we show that some keywords are very important to classify websites to the categories. By using these analyzed keyword information, we present that many websites could be classified to an appropriate category with high precision when three categories (museum, restaurant and accommodations) related to tourism are treated as examples. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Web site / Automatic Classification / Feature Analysis / Keyword Extraction |
Paper # | AI2005-7 |
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Conference Information | |
Committee | AI |
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Conference Date | 2005/7/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Feature Analysis and Keyword Extraction for Automatic Classification of Web Site |
Sub Title (in English) | |
Keyword(1) | Web site |
Keyword(2) | Automatic Classification |
Keyword(3) | Feature Analysis |
Keyword(4) | Keyword Extraction |
1st Author's Name | Takatomo HONDA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
2nd Author's Name | Masahito YAMAMOTO |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
3rd Author's Name | Hidenori KAWAMURA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
4th Author's Name | Azuma OHUCHI |
4th Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2005/7/25 |
Paper # | AI2005-7 |
Volume (vol) | vol.105 |
Number (no) | 224 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |