https://github.com/sayamalt/resume-classification-using-fine-tuned-bert
Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.
https://github.com/sayamalt/resume-classification-using-fine-tuned-bert
bert-model exploratory-data-analysis fine-tuning-bert model-evaluation nlp text-preprocessing text-tokenization word-embeddings
Last synced: 5 months ago
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Successfully developed a resume classification model which can accurately classify the resume of any person into its corresponding job with a tremendously high accuracy of more than 99%.
- Host: GitHub
- URL: https://github.com/sayamalt/resume-classification-using-fine-tuned-bert
- Owner: SayamAlt
- Created: 2023-01-13T09:43:45.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-01-13T09:55:56.000Z (over 2 years ago)
- Last Synced: 2024-11-07T12:48:01.418Z (7 months ago)
- Topics: bert-model, exploratory-data-analysis, fine-tuning-bert, model-evaluation, nlp, text-preprocessing, text-tokenization, word-embeddings
- Language: Jupyter Notebook
- Homepage:
- Size: 1.19 MB
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Resume-Classification-using-fine-tuned-BERT
## Project Scope
Classification of resumes into their respective jobs simplies things a lot at the corporate level, especially for the HR recruiters and hiring managers who otherwise have to look through each and every resume first just to identify the domain on which any specific resume is based. Automating the initial screening process in such a manner will enhance the overall quality and efficiency of recruitment.