High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic
- 10.2991/iccia.2012.313How to use a DOI?
- short messages text,semantic,concept similarity
Existing data clustering method lacks considering of latent similar information existing among words,and it leads to unsatisfactory clustering result.Aiming at Chinese short message text clustering,this paper proposes a clustering algorithm based on semantic.It offers Chinese concept,and the measuring methods to calculate the similarity degree about words and Chinese short message text.It completes the clustering of Chinese short messages text through fission downwards and mergence of twos upwards.Experimental results show that this algorithm has better clustering quality than traditional algorithm.
- © 2013, 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 - Fengxia Yang PY - 2014/05 DA - 2014/05 TI - High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1263 EP - 1266 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.313 DO - 10.2991/iccia.2012.313 ID - Yang2014/05 ER -