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

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