Publication2025
Extracting Disaster Insights from Bangla News Using Text Categorization
- Climate Action
- Partnerships for the Goals
- Good Governance and Security
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- International — held abroad
- Journal
- 2025 IEEE International Conference on Quantum Photonics Artificial Intelligence and Networking Qpain 2025
- Published
- 1 January 2025
- DOI
- 10.1109/qpain66474.2025.11172020
- Scopus ID
- 105019044166
- Authors
- 7
- Open access
- No
- Citations
- 7
- International co-authorship
- Yes
- Co-author countries
- BD, IN, US
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
13.1 Strengthen resilience and adaptive capacity to climate-related hazards and natural disasters
BERT-based machine learning system classifies natural disasters from Bangla news enabling early warning and emergency response in flood and cyclone-prone regions
- 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.
- 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
17.6 Enhance North-South, South-South and triangular cooperation on science, technology and innovation, and knowledge sharing
Structural signal: co-authorship outside India.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- sdg17-structural-v1, under kortex-publication-v1
Viksit Bharat @2047
vb-4 Good Governance and Security
Disaster monitoring and prediction system supports early warning infrastructure for public safety
- 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.
Evidence
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Extracting Disaster Insights from Bangla News Using Text Categorization”. Kortex.