Qualitative study in Natural Language Processing : text classification

Wahdan, A ORCID: https://orcid.org/0000-0003-2936-1582, Salloum, S ORCID: https://orcid.org/0000-0002-6073-3981 and Shaalan, K ORCID: https://orcid.org/0000-0003-0823-8390 2022, Qualitative study in Natural Language Processing : text classification , in: International Conference on Emerging Technologies and Intelligent Systems (ICETIS 2021), 5th-6th April 2021, Online.

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Abstract

Recently Natural Language Processing (NLP) has excessive attention due to increased data available online. Although there is huge development in Arabic NLP, but still it is behind English NLP. The aim of this study is to examine the most useful qualitative research design that can be used in the field of Arabic Natural Language Processing in general and in-text classification in specific. Two research designs have been examined in detail; survey and experimental research. Both benefits and drawbacks illustrated for each research design with examples for each method. Thus to have better understanding for some of the research methods. Then deciding which one is best fit to design a qualitative study in this field. Furthermore, this paper suggested framework can be used while researching in the field of NLP. The framework suggested to start with survey or Literature review then follow it with experiment.

Item Type: Conference or Workshop Item (Paper)
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of International Conference on Emerging Technologies and Intelligent Systems
Publisher: Springer
Series Name: Lecture Notes in Networks and Systems
ISBN: 9783030859893 (softcover); 9783030859909 (ebook)
ISSN: 2367-3370
Related URLs:
Depositing User: USIR Admin
Date Deposited: 04 Mar 2022 10:59
Last Modified: 04 Mar 2022 10:59
URI: http://usir.salford.ac.uk/id/eprint/63302

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