Research and Implementation of Topic Search Engines System based on Medical Document Classification

DOI

10.2991/icsnce-16.2016.110How to use a DOI?

Keywords

Medical documents; Search engines; Topic search; Text categorization

Abstract

This paper studies and analyzes the principle, strategy, structure and working mode of "subject network search engines". A topic search engines system based on medical document classification is designed and implemented in Windows environment using C++. In this paper, the vector space model is used to describe the document, and the document is classified by the simple vector distance method. Through the implementation and testing of the system, it can be concluded that the method used in this paper has a great improvement in the efficiency of the operation and the effect of crawling strategy, which greatly improves the accuracy of the search engines.

Copyright

© 2016, 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  - Yanmei Hu
PY  - 2016/07
DA  - 2016/07
TI  - Research and Implementation of Topic Search Engines System based on Medical Document Classification
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 565
EP  - 569
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.110
DO  - 10.2991/icsnce-16.2016.110
ID  - Hu2016/07
ER  -