Improve the automatic classification accuracy for Arabic tweets using ensemble methods-Reference-Cited by-同舟云学术

Improve the automatic classification accuracy for Arabic tweets using ensemble methods

Author:

Abdelaal Hammam M.,Elmahdy Ahmed N.,Halawa Ali A.,Youness Hassan A.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference14 articles.

1. Building an effective rule-based light stemmer for Arabic language to improve search effectiveness;Al-Shalabi;Int. Arab J. Inf. Technol.,2012

2. Bagging, Boosting, and Stacking. http://stats.stackexchange.com/questions/18891/bagging-boosting-and-stacking-in-machine-learning.

3. Arabic Tweets Categorization Based on Rough Set Theory;Bekkali,2014

4. The Text Mining Handbook, Advanced Approaches in Analyzing Unstructured Data;Feldman,2007

5. Data Mining: Concepts and Techniques;Han,2006

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. An Ensemble Method for Heterogeneous Data Classification using Boosted k-NN with Active Learning;2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT);2024-01-11

5. Short text classification for Arabic social media tweets;Journal of King Saud University - Computer and Information Sciences;2022-10