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Text Classification Based on Weighted Extreme Learning Machine
2019
Ibn AL- Haitham Journal For Pure and Applied Science
The huge amount of documents in the internet led to the rapid need of text classification (TC). TC is used to organize these text documents. In this research paper, a new model is based on Extreme Machine learning (EML) is used. The proposed model consists of many phases including: preprocessing, feature extraction, Multiple Linear Regression (MLR) and ELM. The basic idea of the proposed model is built upon the calculation of feature weights by using MLR. These feature weights with the
doi:10.30526/32.1.1978
fatcat:izg5kgjblve4zpg4ba5z5ig6ke