Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications

Design and Realization of SVM Topic Crawler Based on Incremental Learning

Authors
Ping Zhou
Corresponding Author
Ping Zhou
Available Online November 2015.
DOI
https://doi.org/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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Volume Title
Proceedings of the 2015 3rd International Conference on Machinery, Materials and Information Technology Applications
Series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-120-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/icmmita-15.2015.6How to use a DOI?
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/).

Cite this article

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  - https://doi.org/10.2991/icmmita-15.2015.6
ID  - Zhou2015/11
ER  -