Description
Topic: Natural Language Processing: Trends and ChallengesRecently, Natural Language Processing (NLP) has witnessed pivotal advancements evolving various fields and transforming how we communicate and interact with computers by understanding human languages and dialects. However, many challenges still need to be addressed or improved to improve user performance. For example, mining software repositories have many open challenges, i.e., developing efficient techniques to handle and process massive research datasets, including source code, commit history, and bug reports. Similarly, researchers must develop state-of-the-art approaches to improve the performance of existing supervised and unsupervised learning approaches in classifying, clustering, and summarizing various social-media-based problems. This Special Issue aims to provide a comprehensive overview of the current trends, emerging technologies, and persistent challenges in NLP. It seeks to highlight the cutting-edge developments and address the hurdles the NLP community faces in this dynamic field.
| Period | 2023 → Feb 2024 |
|---|---|
| Type of journal | Journal |
| Degree of Recognition | International |