A cross language text categorization algorithm from the perspective of information retrieval

Yue Liu; Ming Tian; Weitao Zhou; Lin Dai

doi:10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval

Yue Liu^*, Ming Tian, Weitao Zhou, Lin Dai

^*Corresponding author for this work

School of Computer Science and Technology

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

Abstract

In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

Original language	English
Title of host publication	Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
Pages	254-257
Number of pages	4
DOIs	https://doi.org/10.1109/ICICEE.2012.74
Publication status	Published - 2012
Event	2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 - Xi'an, China Duration: 23 Aug 2012 → 25 Aug 2012

Publication series

Name	Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

Conference

Conference	2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012
Country/Territory	China
City	Xi'an
Period	23/08/12 → 25/08/12

Keywords

Cross Language Text Categorization
Information Retrieval
Text Categorization

Access to Document

10.1109/ICICEE.2012.74

Cite this

Liu, Y., Tian, M., Zhou, W., & Dai, L. (2012). A cross language text categorization algorithm from the perspective of information retrieval. In Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 (pp. 254-257). Article 6322363 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012). https://doi.org/10.1109/ICICEE.2012.74

Liu, Yue ; Tian, Ming ; Zhou, Weitao et al. / A cross language text categorization algorithm from the perspective of information retrieval. Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. pp. 254-257 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012).

@inproceedings{e8dbba583d0845b0b8a571854a97508d,

title = "A cross language text categorization algorithm from the perspective of information retrieval",

abstract = "In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.",

keywords = "Cross Language Text Categorization, Information Retrieval, Text Categorization",

author = "Yue Liu and Ming Tian and Weitao Zhou and Lin Dai",

year = "2012",

doi = "10.1109/ICICEE.2012.74",

language = "English",

isbn = "9780769547923",

series = "Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012",

pages = "254--257",

booktitle = "Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012",

note = "2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012 ; Conference date: 23-08-2012 Through 25-08-2012",

}

Liu, Y, Tian, M, Zhou, W & Dai, L 2012, A cross language text categorization algorithm from the perspective of information retrieval. in Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012., 6322363, Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, pp. 254-257, 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012, Xi'an, China, 23/08/12. https://doi.org/10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval. / Liu, Yue; Tian, Ming; Zhou, Weitao et al.
Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. p. 254-257 6322363 (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A cross language text categorization algorithm from the perspective of information retrieval

AU - Liu, Yue

AU - Tian, Ming

AU - Zhou, Weitao

AU - Dai, Lin

PY - 2012

Y1 - 2012

N2 - In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

AB - In this paper, we propose a novel method that performs Cross Language Text Categorization (CLTC) from the perspective of Information Retrieval. We present an input document in target language in the form of a query in source language. Then we retrieve the training documents in source language and find K most relevant results. At last, we use the class labels of the K results to predict the class of the input document. The only external resource required by our method is a bilingual dictionary. Experimental results show that our method gives promising performance, which is better than translation-based method.

KW - Cross Language Text Categorization

KW - Information Retrieval

KW - Text Categorization

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DO - 10.1109/ICICEE.2012.74

M3 - Conference contribution

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T3 - Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

SP - 254

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BT - Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

T2 - 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012

Y2 - 23 August 2012 through 25 August 2012

ER -

Liu Y, Tian M, Zhou W, Dai L. A cross language text categorization algorithm from the perspective of information retrieval. In Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012. 2012. p. 254-257. 6322363. (Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering, ICICEE 2012). doi: 10.1109/ICICEE.2012.74

A cross language text categorization algorithm from the perspective of information retrieval

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