Short Text Categorization via Coherence Constraints

Author(s):  
Anca Dinu
Author(s):  
Sung-Hee Na ◽  
Jung-In Kim ◽  
Eun-Ji Lee ◽  
Pan-Koo Kim

2014 ◽  
Vol 573 ◽  
pp. 560-564
Author(s):  
P. Kumari Bala ◽  
D. Jemi Florinabel ◽  
S. Sivasakthi

The aim of the project work is automatically to filter the dirty words from other users without displaying to the profile owner. In Online Social Network may have possibilities of posting some dirty messages so it need to filter without displaying to owner. It has achieved by using Rule based Filtering System. The Rule Based Filtering System allows users customize to filter the noisy or dirty words by applying some filtering Criteria. It exploits Machine Learning (ML). Machine Learning is a text categorization techniques to specify some categories for assign the short text dirty words based on their content. The content-based filtering on messages posted on user space has specified the additional challenges to be given the short length of these messages. Online social networks not only make it easier for users to share their opinions with each other, but also serve as a platform for developing filter algorithms.


2010 ◽  
Vol 30 (4) ◽  
pp. 1015-1018 ◽  
Author(s):  
Yue-hong CAI ◽  
Qian ZHU ◽  
Ping SUN ◽  
Xian-yi CHENG

Sign in / Sign up

Export Citation Format

Share Document