| language: | |
| - en | |
| - nl | |
| - de | |
| - fr | |
| - it | |
| - es | |
| license: mit | |
| # bert-base-multilingual-uncased-sentiment | |
| 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). | |
| 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. | |
| ## Training data | |
| Here is the number of product reviews we used for finetuning the model: | |
| | Language | Number of reviews | | |
| | -------- | ----------------- | | |
| | English | 150k | | |
| | Dutch | 80k | | |
| | German | 137k | | |
| | French | 140k | | |
| | Italian | 72k | | |
| | Spanish | 50k | | |
| ## Accuracy | |
| The fine-tuned model obtained the following accuracy on 5,000 held-out product reviews in each of the languages: | |
| - Accuracy (exact) is the exact match for the number of stars. | |
| - 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. | |
| | Language | Accuracy (exact) | Accuracy (off-by-1) | | |
| | -------- | ---------------------- | ------------------- | | |
| | English | 67% | 95% | |
| | Dutch | 57% | 93% | |
| | German | 61% | 94% | |
| | French | 59% | 94% | |
| | Italian | 59% | 95% | |
| | Spanish | 58% | 95% | |
| ## Contact | |
| In addition to this model, [NLP Town](https://nlp.town) offers custom, monolingual sentiment models for many languages and an improved multilingual model through [RapidAPI](https://rapidapi.com/nlp-town-nlp-town-default/api/multilingual-sentiment-analysis2/). | |
| Feel free to contact us for questions, feedback and/or requests for similar models. |