B Evidence Grade B Graded accuracy verified by the review judge Safe to Cite Current

85%

85% -- accuracy rate for transformer-based sentiment analysis models (BERT, RoBERTa, GPT) (2026)

2026  · amicited.com

Transformer-based deep learning sentiment analysis models achieve accuracy rates of 85-95% on complex datasets.

  • Reported as a range (85-95%) on complex datasets
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Attribution: amicited.com View source
Lighthouse Research Team
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Source verified Evidence graded
Value
85%
Unit
Percentage
Data Vintage
2026
Entity
transformer-based sentiment analysis models (BERT, RoBERTa, GPT)
Geography
Global
B
Strong, reliable evidence

Sourced from a well-regarded research firm or industry leader with transparent methodology and a reasonably large sample.

61/100 confidence

Single source - not yet corroborated

Extraction
75
Source Trust
60
Citation Chain
20
Independence
30
Methodology
45
Freshness
95
amicited.com Primary Tier B
https://www.amicited.com/no/glossary/sentiment-analysis/ ↗
Confidence: 53/100 Vintage: 2026 Channel: Common Crawl
Source Article
Sentimentanalyse: Analyse av emosjonell tone i innhold
Original Research
amicited.com · Original study ↗

Range 85-95%, midpoint used

Methodology documented
IndustryAI/Machine Learning RegionGlobal RoleData Scientist/AI Specialist
Plain Text
transformer-based sentiment analysis models (BERT, RoBERTa, GPT): 85% accuracy rate. Source: amicited.com (2026). Via Lighthouse Intelligence -- https://lighthousedata.io/data/deep-learning-sentiment-accuracy
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<blockquote cite="https://lighthousedata.io/data/deep-learning-sentiment-accuracy" style="border-left:3px solid #2563eb;padding:12px 16px;margin:16px 0;font-family:system-ui,sans-serif;background:#f0f4ff;"><strong>85%</strong> -- accuracy rate for transformer-based sentiment analysis models (BERT, RoBERTa, GPT)<br><small>Source: amicited.com (2026) · <a href="https://lighthousedata.io/data/deep-learning-sentiment-accuracy" target="_blank" rel="noopener">Lighthouse Intelligence</a></small></blockquote>
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