Feature extraction using LR-PCA hybridization on twitter data and classification accuracy using machine learning algorithms
- 28 February 2018
- journal article
- research article
- Published by Springer Science and Business Media LLC in Cluster Computing
- Vol. 22 (S6), 13965-13974
- https://doi.org/10.1007/s10586-018-2158-3
Abstract
No abstract availableKeywords
This publication has 34 references indexed in Scilit:
- Sifting robotic from organic text: A natural language approach for detecting automation on TwitterJournal of Computational Science, 2016
- Beating the Artificial Chaos: Fighting OSN Spam Using Its Own TemplatesIEEE/ACM Transactions on Networking, 2016
- Accelerated PSO Swarm Search Feature Selection for Data Stream Mining Big DataIEEE Transactions on Services Computing, 2015
- Feature Extraction or Feature Selection for Text Classification: A Case Study on Phishing Email DetectionInternational Journal of Information Engineering and Electronic Business(ijieeb), 2015
- Predicting Elections for Multiple Countries Using Twitter and PollsIEEE Intelligent Systems, 2015
- An Improved Independent Component Analysis Algorithm Based on Artificial Immune SystemInternational Journal of Machine Learning and Computing, 2013
- Improving the classification accuracy of streaming data using SAX similarity featuresPattern Recognition Letters, 2011
- Mass-Induced Unilateral Hallux ValgusOrthopedics, 2010
- An Approach for Discretization and Feature Selection Of Continuous-Valued Attributes in Medical Images for Classification LearningInternational Journal of Computer and Electrical Engineering, 2009
- Feature Extraction Using Independent Components of Each CategoryNeural Processing Letters, 2005