Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/112468
DC Field | Value | Language |
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dc.contributor | 資科系 | |
dc.creator | Hsieh, Yu Lun | en_US |
dc.creator | Liu, Shih Hung | en_US |
dc.creator | Chang, Yung Chun | en_US |
dc.creator | Hsu, Wen-Lian | en_US |
dc.date | 2016-02 | |
dc.date.accessioned | 2017-08-31T06:51:47Z | - |
dc.date.available | 2017-08-31T06:51:47Z | - |
dc.date.issued | 2017-08-31T06:51:47Z | - |
dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/112468 | - |
dc.description.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. | |
dc.format.extent | 209 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation | TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence , 245-251 | en_US |
dc.subject | Artificial intelligence; Neural networks; Vectors; Comprehensive performance evaluation; Context information; Document categorization; Document Representation; Information explosion; Similarity measure; Vector representations; word embedding; Vector spaces | |
dc.title | Distributed keyword vector representation for document categorization | en_US |
dc.type | conference | |
dc.identifier.doi | 10.1109/TAAI.2015.7407126 | |
dc.doi.uri | http://dx.doi.org/10.1109/TAAI.2015.7407126 | |
item.openairetype | conference | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | restricted | - |
Appears in Collections: | 會議論文 |
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