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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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Autori principali: Muhammad Rehan Ashraf, Muzammal Hussain, M. Arfan Jaffar, Waheed Yousuf Ramay, Muhammad Faheem
Natura: Artigo
Lingua:Inglês
Pubblicazione: IEEE 2024-01-01
Serie:IEEE Access
Soggetti:
Sentiment analysis
Urdu
XLM-R
GPT-2
classification
deep learning
Accesso online:https://ieeexplore.ieee.org/document/10600706/
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