Chinese Text Classification Based on Ant Colony Optimization
- Xin Luo
- Corresponding Author
- Xin Luo
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.10How to use a DOI?
- Text processing; classification; Artificial intelligence; Ant colony optimization;
- It's significance for us to study Chinese Text Classification, when we face so much dynamic information. The development of Text Classification has a close connection with Pattern Recognition. However, some peculiarity of Chinese Text Classification, such as it has many classes, much noise, and excessive samples, make Pattern Recognition difficult to classify texts. Recently, Artificial Intelligence provides a new intellectualized method to Text Classification. This paper tentatively leads Ant Colony Optimization, a ripe algorithm of Swarm Intelligence, into Text Classification. We construct a Text ACO-Miner Classification Model based on Ant Colony Optimization, and test it. The result shows the model can accurately be used to classify Chinese texts.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xin Luo PY - 2015/12 DA - 2015/12 TI - Chinese Text Classification Based on Ant Colony Optimization BT - 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.10 DO - https://doi.org/10.2991/icmmcce-15.2015.10 ID - Luo2015/12 ER -