Publication2020
A Proposal for Earthmovers Distance Based KNN Classification for Document Retrieval
The record
- Type
- Publication
- Date
- 1 March 2020
- Level
- National
- Journal
- 2020 International Conference on Computer Science Engineering and Applications Iccsea 2020
- Published
- 1 March 2020
- DOI
- 10.1109/iccsea49143.2020.9132949
- Scopus ID
- 85089773478
- Authors
- 3
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
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UN Sustainable Development Goals
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Earth movers distance-based KNN classification for document retrieval applies word mover distance metrics improving natural language processing text mining efficiency
- 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
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Information retrieval research advances text analytics and document classification methodology using semantic distance measures
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “A Proposal for Earthmovers Distance Based KNN Classification for Document Retrieval”. Kortex.