Finding of People in Economic Field based on Personal Profile

Lei Chun, Yang Fengfan, Lou Liang

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 Harvard Style

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 - Volume 1: ISME, ISBN 978-989-758-163-2, pages 436-439. DOI: 10.5220/0006028004360439


in Bibtex Style

@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 - Volume 1: ISME,},
year={2015},
pages={436-439},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006028004360439},
isbn={978-989-758-163-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Information Science and Management Engineering III - Volume 1: 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