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Authors: Lei Chun 1 ; Yang Fengfan 2 and Lou Liang 2

Affiliations: 1 School of Economics and Management, Southwest Jiaotong University, China ; 2 College of Electronics and Information Engineering, Sichuan University, China

Keyword(s): People in Economic Field, Field Trie Tree, Chinese Text Classification, Bayesian Classifier.

Abstract: There are a lot of personal profile information on the Internet. If we can automatically collect these information on the Internet, classify them and extracting personnel information from them, it can provide some help for the finding of people in specific field. In the research, we focus on study of Finding of People in Economic Field based on Personal Profile from the Internet. We proposed a field dictionary building method base on the paper database, and make an improvement to the text segmentation technology used in people classification. We designed a hybrid segmentation method based on Field Trie Tree and HMMViterbi model. On the basis of Bayesian classifier, we build a model to find people in Economic field based on Personal Profile. Experiments shows that the method has a high rate of the recognition of people in economic field.

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Paper citation in several formats:
Chun, L.; Fengfan, Y. and Liang, L. (2015). Finding of People in Economic Field based on Personal Profile. In Proceedings of the Information Science and Management Engineering III - ISME; ISBN 978-989-758-163-2, SciTePress, pages 436-439. DOI: 10.5220/0006028004360439

@conference{isme15,
author={Lei Chun. and Yang Fengfan. and Lou Liang.},
title={Finding of People in Economic Field based on Personal Profile},
booktitle={Proceedings of the Information Science and Management Engineering III - ISME},
year={2015},
pages={436-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006028004360439},
isbn={978-989-758-163-2},
}

TY - CONF

JO - Proceedings of the Information Science and Management Engineering III - ISME
TI - Finding of People in Economic Field based on Personal Profile
SN - 978-989-758-163-2
AU - Chun, L.
AU - Fengfan, Y.
AU - Liang, L.
PY - 2015
SP - 436
EP - 439
DO - 10.5220/0006028004360439
PB - SciTePress

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