Improved Prioritization of Software Development Demands in Turkish With Deep Learning-Based NLP-Reference-Cited by-同舟云学术

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Improved Prioritization of Software Development Demands in Turkish With Deep Learning-Based NLP

Published:2022 Issue: Volume:10 Page:40249-40263
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tunali Volkan¹^ORCID

Affiliation:

1. Department of Software Engineering, Faculty of Engineering and Natural Sciences, Maltepe University, Istanbul, Turkey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09756583.pdf?arnumber=9756583

Reference49 articles.

1. ELECTRA: Pre-training text encoders as discriminators rather than generators;clark;Proc 8th Int Conf Learn Represent (ICLR),2020

2. DistilBERT, a distilled version of BERT: Smaller, faster, cheaper and lighter;sanh;arXiv 1910 01108,2019

3. An affix stripping morphological analyzer for Turkish;eryigit;Proc Int Conf Artif Intell Appl,2004

4. Examining the impact of stemming on clustering Turkish texts

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2. Software bug severity and priority prediction using SMOTE and intuitionistic fuzzy similarity measure;Applied Soft Computing;2024-01

3. Exploring the potential of deep learning and machine learning techniques for randomness analysis to enhance security on IoT;International Journal of Information Security;2023-11-22

4. Software bug priority prediction technique based on intuitionistic fuzzy representation and class imbalance learning;Knowledge and Information Systems;2023-10-10

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