Text Classification of English News Articles using Graph Mining Techniques

Hasan Abdulla, Wasan Awad

2022

Abstract

Several techniques can be used in the natural language processing systems to understand text documents, such as, text classification. Text Classification is considered a classical problem with several purposes, varying from automated text classification to sentiment analysis. A graph mining technique for the text classification of English news articles is considered in this research. The proposed model was examined where every text is characterized by a graph that codes relations among the various words. A word's significance to a text is presented by the graph-theoretical degree of a graph's vertices. The proposed weighting scheme can significantly obtain the links between the words that co-appear in a text, producing feature vectors that can enhance the English news articles classification. Experiments have been conducted by implementing the proposed classification algorithms in well-known text datasets. The findings suggest that the proposed text classification using graph mining technique as accurate as other techniques using appropriate parameters.

Paper Citation

in Harvard Style

Abdulla H. and Awad W. (2022). Text Classification of English News Articles using Graph Mining Techniques. In Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-547-0, pages 926-937. DOI: 10.5220/0010954600003116

in Bibtex Style

@conference{icaart22,
author={Hasan Abdulla and Wasan Awad},
title={Text Classification of English News Articles using Graph Mining Techniques},
booktitle={Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2022},
pages={926-937},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010954600003116},
isbn={978-989-758-547-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Text Classification of English News Articles using Graph Mining Techniques
SN - 978-989-758-547-0
AU - Abdulla H.
AU - Awad W.
PY - 2022
SP - 926
EP - 937
DO - 10.5220/0010954600003116