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Chemical Bert Uncased Pharmaceutical Chemical Classifier
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Chemical Bert Uncased Pharmaceutical Chemical Classifier
Developed by recobo
A domain-specific language model fine-tuned on 13K chemistry and 14K pharmaceutical Wikipedia article paragraphs for distinguishing between pharmaceutical and chemical domain texts.
Downloads 35
Release Time : 3/2/2022
Model Overview
This model is a BERT-based text classifier specifically designed to distinguish between chemical and pharmaceutical domain texts.
Model Features
Domain-Specific
A classification model optimized specifically for chemical and pharmaceutical domain texts
High Accuracy
Achieves approximately 92.8% accuracy on validation and test sets
Wikipedia-Based Data
Trained using 13K chemistry and 14K pharmaceutical Wikipedia article paragraphs
Model Capabilities
Text Classification
Domain Identification
Chemical Text Analysis
Pharmaceutical Text Analysis
Use Cases
Academic Research
Literature Classification
Automatically classify academic literature in chemical and pharmaceutical fields
Improves literature organization efficiency
Industrial Applications
Patent Analysis
Identify patent documents in chemical and pharmaceutical fields
Assists in intellectual property management
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