Thumbs Up?
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Cornell University,IBM
- Organisation type
- Academia,Industry
- Country
- United States of America
- Published
- 28 May 2002
- Authors
- Bo Pang, Lillian Lee, Shivakumar Vaithyanathan
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Sentiment classification
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- 1,400 tokens
yielding a corpus of 752 negative and 1301 positive reviews
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Highly cited
- Citations
- 10,656
Sources
Where this record came from and when it was last checked.
- Reference
- Thumbs up? Sentiment Classification using Machine Learning Techniques
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Thumbs Up? was published by Cornell University,IBM, in United States of America, in May 2002. academia,Industry is the category the publisher falls under.
It works in Language, and is recorded as doing sentiment classification.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
It was trained on about 1,400 tokens of text.
It is tracked in the underlying dataset for one reason in particular: highly cited.
Answers
Thumbs Up? — common questions
How many parameters does Thumbs Up? have?
No parameter count has been published for Thumbs Up?, which is why no memory or speed figure appears on this page.
Who created Thumbs Up??
Thumbs Up? was published by Cornell University,IBM, based in United States of America, categorised as academia,Industry.
When was Thumbs Up? released?
Thumbs Up? was published in May 2002. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is Thumbs Up? used for?
Thumbs Up? works in Language, and is recorded as handling sentiment classification. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run Thumbs Up??
None. Thumbs Up? is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Thumbs Up? open source?
The licensing for Thumbs Up? was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.