Text Classification Based on Weighted Extreme Learning Machine

Hayder Mahmood Salman

doi:10.30526/32.1.1978

Article Details

Text Classification Based on Weighted Extreme Learning Machine

Authors:

Hayder Mahmood Salman

Publisher:

University of Baghdad

Journal:

Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.197-204

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001377679

pISSN:

2521-3407

DOI:

10.30526/32.1.1978

Keywords:

Abstract:

 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 extracted features introduced as an input to the ELM that produced weighted Extreme Learning Machine (WELM). The results showed   a great competence of the proposed WELM compared to the ELM.

Article Details

Text Classification Based on Weighted Extreme Learning Machine

Authors:

Hayder Mahmood Salman

Publisher:

University of Baghdad

Journal:

Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.197-204

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001377679

pISSN:

2521-3407

DOI:

10.30526/32.1.1978

Text Classification

Multiple Linear Regression

Extrem Machine Learning

Issues

Article Details

Text Classification Based on Weighted Extreme Learning Machine

Authors: Hayder Mahmood Salman

Publisher: University of Baghdad

Journal: Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.197-204

Document Type: Article

Publication Date: 1/2019

Document Language: English

Document ID (Org No.): 2001377679

pISSN: 2521-3407

DOI: 10.30526/32.1.1978

Text Classification

Multiple Linear Regression

Extrem Machine Learning

Issues

Authors:

Hayder Mahmood Salman

Publisher:

University of Baghdad

Journal:

Ibn AL-Haitham Journal For Pure and Applied Sciences Vol.32 Issue 1, pp.197-204

Document Type:

Article

Publication Date:

1/2019

Document Language:

English

Document ID (Org No.):

2001377679

pISSN:

2521-3407

DOI:

10.30526/32.1.1978