A Resume parser and summarizer tool to classify resumes and rank the resumes according to the requirements of the user.
- git init
- git remote add origin https://github.com/ManishShettyM/ResumeRise.git
- DO NOT forget to pull : git pull origin master
- STEPS TO PUSH :
- git add --all
- git commit -m ""
- git push origin master
Cleaning the dataset and creating converters for any format of a resume to be parsed
1.Dataset :
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