This project is a Knowledge Area Classifier designed to analyze and categorize professionals based on their job descriptions or resumes. It leverages natural language processing (NLP) techniques and machine learning to automatically classify individuals into specific knowledge areas or domains. Whether you're a recruiter looking to streamline the candidate selection process or a researcher interested in analyzing labor market trends, this classifier can be a valuable tool.
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Text Classification: The core functionality of this classifier is its ability to categorize professionals into predefined knowledge areas based on the textual content of their descriptions.
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Multi-Domain Support: It supports a wide range of knowledge domains and can be customized to fit your specific needs. Common domains include technology, finance, healthcare, and more.
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Pretrained Models: The classifier utilizes state-of-the-art pretrained NLP models to ensure high accuracy and efficiency in categorization.
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Customization: You can fine-tune the classifier for your unique domain or industry, improving its accuracy in classifying professionals accurately.
Follow these steps to set up and start using the Knowledge Area Classifier:
- Clone the Repository: Clone this repository to your local machine.
git clone https://github.com/your-username/knowledge-area-classifier.git