nlptown/bert-base-multilingual-uncased-sentiment做al视频怎么赚钱
bert-base-multilingual-uncased-sentiment
This 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).即梦al
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.ai软件哪个比较好
Training data
Here is the number of product reviews we used for finetuning the model:做al视频怎么赚钱
| Language | Number of reviews |
|---|---|
| English | 150k |
| Dutch | 80k |
| German | 137k |
| French | 140k |
| Italian | 72k |
| Spanish | 50k |
Accuracy
The finetuned model obtained the following accuracy on 5,000 held-out product reviews in each of the languages:即梦al
- Accuracy (exact) is the exact match on 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 offers custom, monolingual sentiment models for many languages and an improved multilingual model through RapidAPI.百度流畅ai制作
Feel free to contact us for questions, feedback and/or requests for similar models.grok中文版下载
数据统计
数据评估
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