Publication2026
NLP Based Model for Fake Product Review Assessment and Eradication in Online Marketing
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Lecture Notes in Networks and Systems
- Volume
- 1858 LNNS
- Pages
- 379-386
- Published
- 1 January 2026
- DOI
- 10.1007/978-3-032-21013-5_36
- Scopus ID
- 105040546372
- ISSN
- 23673370
- Authors
- 6
- Open access
- No
- Citations
- 0
- 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
12 Ensure sustainable consumption and production patterns
Applies natural language processing and machine learning to identify and eradicate fake product reviews enhancing consumer trust and platform reliability.
- 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
Implements digital technology and AI for e-commerce fraud detection and consumer protection.
- 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. “NLP Based Model for Fake Product Review Assessment and Eradication in Online Marketing”. Kortex.