A Resume parser and summarizer tool to classify resumes and rank the resumes according to the requirements of the user.
The dataset consists of 1000 labelled resumes (labelled according to the primary category/class that a particular resume belongs to) in a csv format. We will be using this csv formatted resume dataset to train our model for classification. Our model should then be able to work on any unseen resume.
- Utils/Analysis.ipynb : Data cleaning + Pre-processing + Visualizations + Insights
- Utils/Summarize.ipynb : Resume Summarization algorithm
- Utils/pdftotext.ipynb : odf to text conversion using pdfminer
- Utils/Modelling.ipynb :main file + representational changes + training + comparison of models + testing
- Utils/naive_bayes.ipynb : multinomial naive bayes implementation
- Utils/svm.ipynb : svm implementation
- Utils/clean_data1.csv: cleaned resume dataset