Development of Emotion Measurement System Using NoSQL: Integrating Sarcasm Detection with Retrained RoBERTa Model

Mualliflar

  • Egamberdiyev N. А. Muallif
  • Utkirbekova P. D. Muallif

Kalit so‘zlar:

schema to store and query large-scale textual entries

Abstrak

In the rapidly evolving landscape of natural language processing (NLP), accurately

measuring human emotions from textual data is a critical challenge, especially in digital

platforms where nuances like sarcasm can distort interpretations. This research introduces

an Emotion Measurement System (EMS) that integrates NoSQL databases for efficient

handling of unstructured textual data with a fine-tuned RoBERTa model retrained for

sarcasm detection. Sarcasm, marked by ironic contrasts between literal and intended

meanings, frequently causes misclassifications in sentiment and emotion analysis,

impacting applications such as social media monitoring, customer service automation,

and mental health tools.

NINE muqovasi

Yuklab olishlar

Nashr qilingan

2026-01-31

Nashr

Jild 3 Nomeri 1 (2026): January 2026

Bo'lim

Articles

Litsenziya

Mualliflik huquqi (c) 2026 The author(s)

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Development of Emotion Measurement System Using NoSQL: Integrating Sarcasm Detection with Retrained RoBERTa Model. (2026). New Innovations in National Education, 3(1). https://reandpub.uz/nine/article/view/980

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