DOING DATA SCIENCE FROM SCRATCH TASK BY TASK

Exposing NLP routines for Job hunters

Providing a resource for job seekers to check keyword matches

Photo by Hannah Wright on Unsplash

I am on a mini-series of posts about creating an NLP application to help people improve their resumes. I introduced the core ideas in my initial post, then I showed how to apply a markup to specific keywords, and more recently, I created a shell application using Python with Vue.js. In this post, Exposing NLP routines for Job hunters, we will focus on building out the service. This series provides a resource for job seekers to check keyword matches, defeating the recruiters’ keyword match screening process. Join me on the next episode, modifying the code base, full-stack style, and documenting our progress.

User Story and tasks

In the agile world, that broadly equates to a new user story, and that story has some tasks as follows.

Story: As a Job Seeker, I want to be able to copy&paste a job description and see the keywords/phrases highlighted.

Tasks:

• Back-end: add the NLP class to the web-server
• Back-end: add a web services route that receives the text, calls the NLP class and returns the keywords