Msq-9 / Extraction-of-Skills

Extracting Skills from resume using Machine Learning

Extraction of Skills

Extracting Skills from resume using NLP & Machine Learning techniques along with Word2Vec from gensim for Word Embeddings.

Description

Used Word2Vec from gensim for word embeddings after cleaning the data using NLP methods such as tokenization and stopword removal. Now, using these word embeddings K Clusters are created using K-Means Algorithm. Out of these K clusters some of the clusters contains skills (Tech, Non-tech & soft skills).

Prerequisites

Software

• PyPDF2 1.26.0
• doc2text 0.2.4
• textract 1.6.3
• python-docx 0.8.10
• pdfminer3 2018.12.3.0
• nltk 3.5
• pandas 1.0.3
• wordcloud 1.7.0
• matplotlib 3.2.1
• gensim 3.8.3
• sklearn 0.22.2.post1
• python 3.8.2

Dataset

The dataset for this project as of now has been collected from : https://github.com/JAIJANYANI/Automated-Resume-Screening-System