Abstract
The Open Directory Project (ODP) is a large scale, high quality and publicly available web directory. Many studies and real-world applications build on an ODP-based classifier. However, existing approaches use traditional bag-of-words representation of text to develop an ODP-based classifier and words alone do not always provide atomic units of semantic meaning. In this paper, we propose a novel framework to better understand the semantic meaning of text by bringing bag-of-phrases to ODP-based text classification. The proposed method employs a syntactic tree to extract phrases from ODP and applies a phrase selection method to alleviate the high dimensionality problem of bag-of-phrases. The conducted evaluation results demonstrate that our approach outperforms the state-of-the-art methods in classification performance.
| Original language | English |
|---|---|
| Title of host publication | 2016 International Conference on Big Data and Smart Computing, BigComp 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 485-488 |
| Number of pages | 4 |
| ISBN (Print) | 9781467387965 |
| DOIs | |
| Publication status | Published - 2016 Mar 3 |
| Event | International Conference on Big Data and Smart Computing, BigComp 2016 - Hong Kong, China Duration: 2016 Jan 18 → 2016 Jan 20 |
Other
| Other | International Conference on Big Data and Smart Computing, BigComp 2016 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 16/1/18 → 16/1/20 |
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Keywords
- open directory project
- syntactic structure
- text classification
- text mining
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
Cite this
Bringing bag-of-phrases to ODP-based text classification. / Shin, Haeyong; Ryu, Byung Gul; Ryu, Woo Jong; Lee, Geunjae; Lee, Sang-Geun.
2016 International Conference on Big Data and Smart Computing, BigComp 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 485-488 7425975.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Bringing bag-of-phrases to ODP-based text classification
AU - Shin, Haeyong
AU - Ryu, Byung Gul
AU - Ryu, Woo Jong
AU - Lee, Geunjae
AU - Lee, Sang-Geun
PY - 2016/3/3
Y1 - 2016/3/3
N2 - The Open Directory Project (ODP) is a large scale, high quality and publicly available web directory. Many studies and real-world applications build on an ODP-based classifier. However, existing approaches use traditional bag-of-words representation of text to develop an ODP-based classifier and words alone do not always provide atomic units of semantic meaning. In this paper, we propose a novel framework to better understand the semantic meaning of text by bringing bag-of-phrases to ODP-based text classification. The proposed method employs a syntactic tree to extract phrases from ODP and applies a phrase selection method to alleviate the high dimensionality problem of bag-of-phrases. The conducted evaluation results demonstrate that our approach outperforms the state-of-the-art methods in classification performance.
AB - The Open Directory Project (ODP) is a large scale, high quality and publicly available web directory. Many studies and real-world applications build on an ODP-based classifier. However, existing approaches use traditional bag-of-words representation of text to develop an ODP-based classifier and words alone do not always provide atomic units of semantic meaning. In this paper, we propose a novel framework to better understand the semantic meaning of text by bringing bag-of-phrases to ODP-based text classification. The proposed method employs a syntactic tree to extract phrases from ODP and applies a phrase selection method to alleviate the high dimensionality problem of bag-of-phrases. The conducted evaluation results demonstrate that our approach outperforms the state-of-the-art methods in classification performance.
KW - open directory project
KW - syntactic structure
KW - text classification
KW - text mining
UR - http://www.scopus.com/inward/record.url?scp=84964680330&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84964680330&partnerID=8YFLogxK
U2 - 10.1109/BIGCOMP.2016.7425975
DO - 10.1109/BIGCOMP.2016.7425975
M3 - Conference contribution
AN - SCOPUS:84964680330
SN - 9781467387965
SP - 485
EP - 488
BT - 2016 International Conference on Big Data and Smart Computing, BigComp 2016
PB - Institute of Electrical and Electronics Engineers Inc.
ER -