Presentation | 2017-06-02 Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning Kento Hayasaka, Incheon Paik, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Text classification by machine learning is an important and popular research topic. Classification of texts between different domains has shown very good performance, but similar texts, for example, concepts with taxonomies under the same ontological origin, are more difficult to be classified by the existing approaches. In this research, to improve taxonomical text classification, we use an additional concept with Explicit Semantic Analysis (ESA) and apply it to the existing shallow learning such as Support Vector Machine (SVM) and deep Convolutional Neural Network(CNN). We could get a good improvement of about 5% using ESA and CNN. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Taxonomy ClassificationSemantic AnalysisConvolutional Neural NetworkSVMClustering |
Paper # | SC2017-3 |
Date of Issue | 2017-05-26 (SC) |
Conference Information | |
Committee | SC |
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Conference Date | 2017/6/2(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | University of Aizu(UBIC 3D) |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Service Computing including IoT, Big Data Analytics, Intelligent Communication System, and Other Issues |
Chair | Incheon Paik(Univ. of Aizu) |
Vice Chair | Masahide Nakamura(Kobe Univ.) |
Secretary | Masahide Nakamura(NICT) |
Assistant |
Paper Information | |
Registration To | Technical Committee on Service Computing |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Taxonomy Classification By Explicit Semantic Analysis & Deep Machine Learning |
Sub Title (in English) | |
Keyword(1) | Taxonomy ClassificationSemantic AnalysisConvolutional Neural NetworkSVMClustering |
1st Author's Name | Kento Hayasaka |
1st Author's Affiliation | University of Aizu(Univ. of Aizu) |
2nd Author's Name | Incheon Paik |
2nd Author's Affiliation | University of Aizu(Univ. of Aizu) |
Date | 2017-06-02 |
Paper # | SC2017-3 |
Volume (vol) | vol.117 |
Number (no) | SC-75 |
Page | pp.pp.11-15(SC), |
#Pages | 5 |
Date of Issue | 2017-05-26 (SC) |