Bert Base Multilingual Uncased Sentiment

🚀 bert-base-multilingual-uncased-sentiment

This is a pre - trained model for sentiment analysis on product reviews in six languages, offering high - accuracy predictions and potential for further finetuning.

🚀 Quick Start

Visit the NLP Town website for an updated version of this model, with a 40% error reduction on product reviews. This bert - base - multilingual - uncased model is 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 can be directly used for sentiment analysis of product reviews in any of the six languages or for further finetuning on related sentiment analysis tasks.

✨ Features

• Multilingual Support: Capable of analyzing product reviews in English, Dutch, German, French, Spanish, and Italian.
• Accurate Prediction: Predicts the sentiment of reviews as a star rating between 1 and 5.
• Versatile Use: Can be used directly or for further finetuning on related tasks.

📦 Training Data

Here is the number of product reviews we used for finetuning the model:

🔧 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.

📚 Contact

In addition to this model, NLP Town offers custom models for many languages and NLP tasks. If you found this model useful, you can buy us a coffee. Feel free to contact us for questions, feedback and/or requests for similar models.

📄 License

This project is licensed under the MIT license.