Presentation | 2012-11-26 Human Behavior Process Extraction from the Web Masami TAKAHASHI, Shin-Ya SATO, Masato MATSUO, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The ability to understand our daily behaviors has long been regarded as enabling a variety of useful applications. Previous work had some limitations such as the types of sentences that can be handled. In this paper, we propose an approach to extract human behaviors from weblogs and then ordering the behaviors by Twitter. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Text Mining / Human Behavior Extraction / Machine Learning / Latent Dirichlet Allocation |
Paper # | AI2012-20 |
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Conference Information | |
Committee | AI |
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Conference Date | 2012/11/19(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) | Human Behavior Process Extraction from the Web |
Sub Title (in English) | |
Keyword(1) | Text Mining |
Keyword(2) | Human Behavior Extraction |
Keyword(3) | Machine Learning |
Keyword(4) | Latent Dirichlet Allocation |
1st Author's Name | Masami TAKAHASHI |
1st Author's Affiliation | NTT Network Innovation Laboratories() |
2nd Author's Name | Shin-Ya SATO |
2nd Author's Affiliation | NTT Network Innovation Laboratories |
3rd Author's Name | Masato MATSUO |
3rd Author's Affiliation | NTT Network Innovation Laboratories |
Date | 2012-11-26 |
Paper # | AI2012-20 |
Volume (vol) | vol.112 |
Number (no) | 319 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |