Intelligence Information Retrieval Based on Text Mining

DOI

10.2991/iceesd-18.2018.182How to use a DOI?

Keywords

Intelligence; Text mining; Word segmentation.

Abstract

With the rapid development of Internet technology in recent years, the amount of text information carried by online electronic documents, e-mails, databases and other forms was increasing explosively. Traditional intelligence information processing methods were increasingly difficult to meet task needs. In this paper, we proposed a word segmentation strategy based on intelligence dictionary, and built a dictionary for intelligence information, which effectively improved the accuracy of word segmentation in intelligence texts.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Ran
AU  - Qiang Liu
AU  - Zhang Bo
AU  - Zhoulong Li
AU  - Deng Ke
PY  - 2018/05
DA  - 2018/05
TI  - Intelligence Information Retrieval Based on Text Mining
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 1010
EP  - 1013
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.182
DO  - 10.2991/iceesd-18.2018.182
ID  - Ran2018/05
ER  -