Publication2022
Analytical review on techniques and challenges in sentiment analysis
The record
- Type
- Publication
- Date
- 24 June 2022
- Level
- National
- Journal
- Empirical Research for Futuristic E Commerce Systems Foundations and Applications
- Pages
- 131-158
- Published
- 24 June 2022
- DOI
- 10.4018/978-1-6684-4969-1.ch007
- Scopus ID
- 85161671639
- Authors
- 4
- 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
Survey of sentiment analysis techniques, NLP methods, and text mining approaches documents research progress in opinion mining and natural language processing.
- 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
Sentiment analysis using NLP and machine learning represents digital technology research in text analysis and data interpretation methods.
- 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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- 1
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KIIT Deemed to be University. “Analytical review on techniques and challenges in sentiment analysis”. Kortex.