Publication2018
GPU based reduce approach for computing faculty performance evaluation process using classification technique in opinion mining
The record
- Type
- Publication
- Date
- 1 January 2018
- Level
- National
- Journal
- International Journal of Data Analysis Techniques and Strategies
- Volume
- 10
- Issue
- 3
- Pages
- 208-222
- Published
- 1 January 2018
- DOI
- 10.1504/ijdats.2018.094134
- Scopus ID
- 85052300470
- ISSN
- 17558050
- Authors
- 3
- 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
Applies GPU-accelerated machine learning for analyzing student feedback to evaluate faculty performance and enhance educational quality and teaching effectiveness
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
GPU computing and machine learning application to educational assessment represents research innovation in educational technology
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.1 Education and lifelong learning
Data-driven faculty evaluation supports continuous improvement of teaching quality and educational outcomes
- 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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- 1
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Citing this record
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KIIT Deemed to be University. “GPU based reduce approach for computing faculty performance evaluation process using classification technique in opinion mining”. Kortex.