| Presentation | 2013-09-13 Adaptive Classification of Document Stream based on Online Topic Model Masato SHIRAI, Takao MIURA, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this investigation, we propose classification method of document stream using online topic model. In document stream, feature of class changes dynamically. It is necessary to change the classification criterion adaptively. In addition, stream data, such as news articles, occurrence frequency of topics are influenced by burst of topic. We performs dynamic learning based on online topic models using pre-distribution of occurrence probability for each class. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | document stream / adaptive classification / topic model / burst |
| Paper # | DE2013-47 |
| Date of Issue |
| Conference Information | |
| Committee | DE |
|---|---|
| Conference Date | 2013/9/5(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Data Engineering (DE) |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Adaptive Classification of Document Stream based on Online Topic Model |
| Sub Title (in English) | |
| Keyword(1) | document stream |
| Keyword(2) | adaptive classification |
| Keyword(3) | topic model |
| Keyword(4) | burst |
| 1st Author's Name | Masato SHIRAI |
| 1st Author's Affiliation | Dept. of Elect. & Elect. Engr., HOSEI University() |
| 2nd Author's Name | Takao MIURA |
| 2nd Author's Affiliation | Dept. of Elect. & Elect. Engr., HOSEI University |
| Date | 2013-09-13 |
| Paper # | DE2013-47 |
| Volume (vol) | vol.113 |
| Number (no) | 214 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |