TalhaFarook / UrduFeel

UrduFeel: Deep Learning Sentiment Analysis for Emotional Insights

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UrduFeel

UrduFeel: Deep Learning Sentiment Analysis for Emotional Insights

Welcome to UrduFeel, your gateway to unraveling the emotional sentiment of Urdu text using advanced deep learning models. By harnessing the power of GRU, RNN, LSTM, and BiLSTM, UrduFeel empowers you to discern whether an Urdu text is Positive (P) or Negative (N). Dive into the heart of Urdu language sentiment and gain valuable insights for various applications, from social media analysis to opinion tracking.

UrduFeel opens the door to sentiment analysis for Urdu text using state-of-the-art deep learning models. With its user-friendly approach, this script provides a seamless way to gauge the emotional polarity of Urdu language content. Whether you're interested in gauging public sentiment or analyzing user feedback, UrduFeel empowers you with the tools to dive into the world of sentiment analysis.

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UrduFeel: Deep Learning Sentiment Analysis for Emotional Insights


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Language:Jupyter Notebook 95.5%Language:Python 4.5%