政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/112468

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113656/144643 (79%)
Visitors : 51713214 Online Users : 531

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 資訊學院 > 資訊科學系 > 會議論文 > Item 140.119/112468

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/112468

Title:	Distributed keyword vector representation for document categorization
Authors:	Hsieh, Yu Lun Liu, Shih Hung Chang, Yung Chun Hsu, Wen-Lian
Contributors:	資科系
Keywords:	Artificial intelligence;Neural networks;Vectors;Comprehensive performance evaluation;Context information;Document categorization;Document Representation;Information explosion;Similarity measure;Vector representations;word embedding;Vector spaces
Date:	2016-02
Issue Date:	2017-08-31 14:51:47 (UTC+8)
Abstract:	In the age of information explosion, efficiently categorizing the topic of a document can assist our organization and comprehension of the vast amount of text. In this paper, we propose a novel approach, named DKV, for document categorization using distributed real-valued vector representation of keywords learned from neural networks. Such a representation can project rich context information (or embedding) into the vector space, and subsequently be used to infer similarity measures among words, sentences, and even documents. Using a Chinese news corpus containing over 100,000 articles and five topics, we provide a comprehensive performance evaluation to demonstrate that by exploiting the keyword embeddings, DKV paired with support vector machines can effectively categorize a document into the predefined topics. Results demonstrate that our method can achieve the best performances compared to several other approaches.
Relation:	TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence , 245-251
Data Type:	conference
DOI 連結:	http://dx.doi.org/10.1109/TAAI.2015.7407126
DOI:	10.1109/TAAI.2015.7407126
Appears in Collections:	[資訊科學系] 會議論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML2	976	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...