Advancements in NLP for social media analytics

Authors

  • Harem Hadi

    Duhok polytechnic University, Technical college of informatics, Department of Information Technology, ‎Akre, Kurdistan Region, Iraq

  • Ibrahim Mahmood Ibrahim

    Department: Computer Networks and Information Security College: Technical College of Informatics- Akre ‎University: Akre University for Applied Sciences

How to Cite

Hadi, H., & Ibrahim , I. M. . (2025). Advancements in NLP for social media analytics. International Journal of Scientific World, 11(1), 167-177. https://doi.org/10.14419/y6d9jv30

Received date: April 19, 2025

Accepted date: May 1, 2025

Published date: May 11, 2025

DOI:

https://doi.org/10.14419/y6d9jv30

Keywords:

Natural Language Processing (NLP); Social Media Analytics; Sentiment Analysis; Misinformation Detection; ‎Key NLP Tasks

Abstract

Natural Language Processing (NLP) is an essential element of computational linguistics and artificial ‎intelligence, enabling fluid interactions between humans and machines. Social networking networks ‎produce substantial volumes of user-generated text daily, offering both opportunities and challenges for ‎NLP researchers. Social media discourse's informal, dynamic, and context-dependent characteristics ‎necessitate specific NLP techniques for precise processing and analysis. This study thoroughly examines NLP applications in social media, including essential tasks such as sentiment analysis, topic ‎modeling, misinformation detection, and hate speech identification. It examines the influence of machine ‎learning and deep learning methodologies, particularly transformer models, on the advancement of NLP ‎capabilities. This study also emphasizes the ethical issues related to NLP-driven social media apps, ‎including data privacy, algorithmic bias, and the regulation of misinformation. The paper continues by ‎discussing emerging research paths, highlighting the necessity for adaptable and ethical NLP solutions in ‎the changing social media environment‎.

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How to Cite

Hadi, H., & Ibrahim , I. M. . (2025). Advancements in NLP for social media analytics. International Journal of Scientific World, 11(1), 167-177. https://doi.org/10.14419/y6d9jv30

Received date: April 19, 2025

Accepted date: May 1, 2025

Published date: May 11, 2025