Publication2021
EmoHinD: Fine-grained multilabel emotion recognition from Hindi texts with Deep learning
The record
- Type
- Publication
- Date
- 1 January 2021
- Level
- National
- Journal
- 2021 12th International Conference on Computing Communication and Networking Technologies Icccnt 2021
- Published
- 1 January 2021
- DOI
- 10.1109/icccnt51525.2021.9579886
- Scopus ID
- 85126241123
- Authors
- 1
- Open access
- No
- Citations
- 4
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Multilingual BERT-based transformer model fine-tuned on Hindi emotion dataset with 0.92 ROC-AUC supports natural language understanding capability development for low-resource languages.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Fine-grained emotion recognition in Hindi using deep learning advances NLP research innovation and linguistic AI capabilities.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Hindi language AI model development supports digital technology and artificial intelligence advancement for Indian languages.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “EmoHinD: Fine-grained multilabel emotion recognition from Hindi texts with Deep learning”. Kortex.