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language: |
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- en |
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- nl |
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- de |
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- fr |
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- it |
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- es |
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license: mit |
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--- |
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# bert-base-multilingual-uncased-sentiment |
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This is a bert-base-multilingual-uncased model finetuned for sentiment analysis on product reviews in six languages: English, Dutch, German, French, Spanish, and Italian. It predicts the sentiment of the review as a number of stars (between 1 and 5). |
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This model is intended for direct use as a sentiment analysis model for product reviews in any of the six languages above or for further finetuning on related sentiment analysis tasks. |
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## Training data |
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Here is the number of product reviews we used for finetuning the model: |
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| Language | Number of reviews | |
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| -------- | ----------------- | |
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| English | 150k | |
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| Dutch | 80k | |
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| German | 137k | |
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| French | 140k | |
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| Italian | 72k | |
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| Spanish | 50k | |
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## Accuracy |
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The fine-tuned model obtained the following accuracy on 5,000 held-out product reviews in each of the languages: |
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- Accuracy (exact) is the exact match for the number of stars. |
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- Accuracy (off-by-1) is the percentage of reviews where the number of stars the model predicts differs by a maximum of 1 from the number given by the human reviewer. |
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| Language | Accuracy (exact) | Accuracy (off-by-1) | |
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| -------- | ---------------------- | ------------------- | |
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| English | 67% | 95% |
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| Dutch | 57% | 93% |
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| German | 61% | 94% |
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| French | 59% | 94% |
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| Italian | 59% | 95% |
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| Spanish | 58% | 95% |
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## Contact |
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If you found this model useful, you can buy me a coffee at https://www.buymeacoffee.com/yvespeirsman. |
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In addition to this model, [NLP Town](http://nlp.town) offers custom models for many languages and NLP tasks. |
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Feel free to contact me for questions, feedback and/or requests for similar models. |
