Bert Finetuned Tech Product Name Ner

🚀 Finetuned BERT for Tech Product Names Named Entity Recognition (NER)

This project presents a fine - tuned BERT model designed for the Named Entity Recognition (NER) of tech product names. It can accurately identify and tag tech product names in sentences.

🚀 Quick Start

You can test the model by following these steps:

1. Navigate to the "Hosted inference API".
2. Enter a sentence that contains a laptop or mobile phone product name in the input field.
3. Press the "Compute" button. The model will then highlight and tag the product name in the sentence.

Here are some sample sentences you can use:

• "I love my new Razer Blade 16."
• "How much is the new IPhone 16 Pro Max?"

✨ Features

• Tech Product Name Recognition: This NER model can recognize and tag tech product names such as 'Asus ZenBook UX430UN', 'Acer Aspire 3', 'Nokia 110 4G', or 'Xiaomi 11T Pro 5G Hyperphone' in a sentence.
• Trained on Specific Data: The model was trained on the names of laptops and mobile phones. However, it might not be suitable for other tech products.

📚 Documentation

Evaluation

• Evaluation Code: You can access the evaluation code here.
• Classification Report:

              precision    recall  f1 - score   support

        B - pn       0.96      0.95      0.96       110
        I - pn       0.96      0.97      0.96       264
           O       0.99      0.99      0.99       876

     accuracy                           0.98      1250
    macro avg       0.97      0.97      0.97      1250
    weighted avg    0.98      0.98      0.98      1250

• Test Data: The test data can be found [here](https://huggingface.co/datasets/ashleyliu31/bert - ner - test - data).

📄 License

This project is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE - 2.0).

🔗 GitHub Link

You can find the project on GitHub: https://github.com/ashleyliu31/finetuned_bert_for_ner