Analysis and Research of Several Problems of Bad Short Message Filtering System

DOI

10.2991/cisia-15.2015.104How to use a DOI?

Keywords

message filtration; unreliable corpus; vector space model; IDF

Abstract

The spread of bad message seriously affects the social ethos and disrupt the normal life order of people. It has considerable practical value to research and develop the filtering technology of bad short message. Two problems in text classification are studied in this paper, which can be used in the bad short message filtering. The first is the application of clustering method to purify unreliable corpus. Experiment shows that the method is quite obvious on purification effect of unreliable data; The second is about a little improvement of word weight index IDF.

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  - W.F Du
AU  - G.X Chen
PY  - 2015/06
DA  - 2015/06
TI  - Analysis and Research of Several Problems of Bad Short Message Filtering System
BT  - Proceedings of the International Conference on Computer Information Systems and Industrial Applications
PB  - Atlantis Press
SP  - 384
EP  - 387
SN  - 2352-538X
UR  - https://doi.org/10.2991/cisia-15.2015.104
DO  - 10.2991/cisia-15.2015.104
ID  - Du2015/06
ER  -