Revolutionizing Urdu Sentiment Analysis: Harnessing the Power of XLM-R and GPT-2

Revolutionizing Urdu Sentiment Analysis: Harnessing the Power of XLM-R and GPT-2

Sentiment analysis extracts valuable insights from textual sources using computation, textual or systematic analysis, and natural language processing. It identifies and measures the attitudes, beliefs, and emotional states individuals express through text data. Recent research on sentiment analysis...

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Bibliographic Details
Main Authors: Muhammad Rehan Ashraf, Muzammal Hussain, M. Arfan Jaffar, Waheed Yousuf Ramay, Muhammad Faheem
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Sentiment analysis
Urdu
XLM-R
GPT-2
classification
deep learning
Online Access:https://ieeexplore.ieee.org/document/10600706/

Internet

https://ieeexplore.ieee.org/document/10600706/

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