Publication2024
Multilingual SMS Spam Detection using BERT and LSTM
- Peace, Justice and Strong Institutions
- Good Governance and Security
The record
- Type
- Publication
- Date
- 1 January 2024
- Level
- National
- Journal
- 2024 International Conference on Innovations and Challenges in Emerging Technologies Icicet 2024
- Published
- 1 January 2024
- DOI
- 10.1109/icicet59348.2024.10616322
- Scopus ID
- 85201195963
- Authors
- 6
- Open access
- No
- Citations
- 1
- 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
16 Promote peaceful and inclusive societies for sustainable development, provide access to justice for all and build effective, accountable and inclusive institutions at all levels
Multilingual SMS spam detection using BERT and LSTM addresses cybersecurity threats and online safety, protecting digital communication integrity.
- 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
Viksit Bharat @2047
vb-4 Good Governance and Security
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 16 label. Multilingual SMS spam detection using BERT and LSTM addresses cybersecurity threats and online safety, protecting digital communication integrity.
- 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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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. “Multilingual SMS Spam Detection using BERT and LSTM”. Kortex.