Publication2018
A Constructive Model for Sentiment Analysis of Speech using Deep Learning
The record
- Type
- Publication
- Date
- 1 December 2018
- Level
- National
- Journal
- Proceedings 2018 International Conference on Information Technology Icit 2018
- Pages
- 1-6
- Published
- 1 December 2018
- DOI
- 10.1109/icit.2018.00013
- Scopus ID
- 85067485841
- Authors
- 4
- Open access
- No
- Citations
- 7
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Deep learning model for speech sentiment analysis advances research capacity in natural language processing and artificial intelligence methodology.
- 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-3.2 Digital technology and artificial intelligence
Speech-based sentiment analysis using deep learning demonstrates digital technology application in human-computer interaction and natural language understanding.
- 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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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “A Constructive Model for Sentiment Analysis of Speech using Deep Learning”. Kortex.