language encoder
Twitter-RoBERTa base sentiment (latest)
RoBERTa base trained on about 124 million tweets and fine-tuned for English tweet sentiment, used for social media monitoring.
Levelmodel
Classlanguage encoder
Parametersnot in the notes
Contextnot in the notes
Released15 Mar 2022
Opennessopen weights permissive
Runs onnot in the notes
Statusactive
Identity
- Developer
- Cardiff NLP (Cardiff University)
- Family
- not in the notes
- Released
- 15 Mar 2022 sourcesregistry date
- Weights published
- –
- Record checked
- 12 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- dense transformer
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open weights permissive
- Licence
- Creative Commons Attribution 4.0 sources
- Access routes
- open weights download
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- Model card languages: en
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
ModelTwitter-RoBERTa base sentiment (latest)Cardiff NLP (Cardiff University), language encoder
Twitter-RoBERTa base sentiment (latest)Cardiff NLP (Cardiff University), language encoderR&D TopicsDomain Adaptation (Vertical Models)
Use CasesClinical LLM (Open Weights)HealthcareClinical LLM (Frontier Proprietary)HealthcareRadiology Report GenerationHealthcarePharma Documents, Regulatory and Life-Science R&DHealthcare+10 moreUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026
PT Pertamina Geothermal EnergyIn production, 14 Jul 2026
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.
Kementerian Kesehatan (Kemenkes), PusdatinPlanned, 19 Aug 2026PT Pertamina Geothermal EnergyIn production, 14 Jul 2026Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026+47 moreDeployments of these use cases; none names this model.Organisations 1
Sources
- huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-lat... https://huggingface.co/cardiffnlp/twitter-roberta-base-sentiment-latest
- huggingface.co/api/models?pipeline_tag=text-classification&s... https://huggingface.co/api/models?pipeline_tag=text-classification&sort=downloads&limit=50
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Twitter-RoBERTa Base Sentiment (Latest)", https://aurion.semai.id/models/cardiff-nlp-twitter-roberta-base-sentiment-latest/, records of October 2026.