Design and Realization of SVM Topic Crawler Based on Incremental Learning

DOI

10.2991/icmmita-15.2015.6How to use a DOI?

Keywords

topic crawler; support vector machine; incremental learning.

Abstract

Using information technology such as search engine for collecting and monitoring of network public opinion is a practical and effective method. This paper puts forward an improved algorithm of SVM classifier based on incremental learning online, and then implements a topic crawler system for network public opinion and to grab the public opinion.

Copyright

© 2015, 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  - Ping Zhou
PY  - 2015/11
DA  - 2015/11
TI  - Design and Realization of SVM Topic Crawler Based on Incremental Learning
BT  - Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
PB  - Atlantis Press
SP  - 23
EP  - 26
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmita-15.2015.6
DO  - 10.2991/icmmita-15.2015.6
ID  - Zhou2015/11
ER  -