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Classification of Poetry Text into the Emotional States Using Deep Learning Technique

Author

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  • Addipalli Himabindhu
  • GVS. Ananthanath

Abstract

The classification of emotional states from poetry or formal text has received less attention by the experts of computational intelligence in recent times as compared to informal textual content like SMS, email, chat, and online user reviews. In this study, an emotional state classification system for text is proposed using the latest and innovative technology of Artificial Intelligence, called Deep Learning. For this purpose, an attention-based Bi-LSTM model is implemented on the text corpus. The proposed approach classifies the text into different emotional states, like neutral, joy, fear, sadness, anger, etc.

Suggested Citation

  • Addipalli Himabindhu & GVS. Ananthanath, 2025. "Classification of Poetry Text into the Emotional States Using Deep Learning Technique," International Journal of Scientific Research in Science, Engineering and Technology, International Journal of Scientific Research in Science, Engineering and Technology, vol. 12(3), pages 1040-1045, June.
    • Handle: RePEc:ijs:ijsrse:v12:y2025:i3:id:587
    DOI: 10.32628/IJSRSET2512121
    Note: Article URL: https://ijsrset.com/home/article/view/IJSRSET2512121
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