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Create Sample Resume and Job Description Text Files and Data-Cleaning Object in model.py
Description:
Generate Sample Files:
Create two random sample text files for resumes and two for job descriptions.
Store these text files in a folder named data/ within the root directory.
Ensure that the text is varied enough to simulate real-world data.
Data-Cleaning Object in model.py:
In model.py, create a class ResumeDataCleaner that will:
Load the resume and job description files.
Apply basic cleaning, such as:
Removing special characters and extra whitespace.
Converting text to lowercase for normalization.
Optionally, use NLP libraries to remove stop words for a more refined output.
Return an instance of the cleaned data as a dictionary or data class.
The text was updated successfully, but these errors were encountered:
Create Sample Resume and Job Description Text Files and Data-Cleaning Object in model.py
Description:
Generate Sample Files:
Create two random sample text files for resumes and two for job descriptions.
Store these text files in a folder named data/ within the root directory.
Ensure that the text is varied enough to simulate real-world data.
Data-Cleaning Object in model.py:
In model.py, create a class ResumeDataCleaner that will:
Load the resume and job description files.
Apply basic cleaning, such as:
Removing special characters and extra whitespace.
Converting text to lowercase for normalization.
Optionally, use NLP libraries to remove stop words for a more refined output.
Return an instance of the cleaned data as a dictionary or data class.
The text was updated successfully, but these errors were encountered: