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linkedin_jobs_from_post's Introduction

LinkedIn-Scrapper

  • Young professionals and graduates are often in the need of a job. As a result, they look out for opportunities in LinkedIn. However there are too many posts one has to go through to finally discover a job posting
  • We saw this as an opportunity to deploy web scraping and machine learning skills to somehow boil down posts users have to go through
  • This project will scroll for few minutes and prepare a data file which can be surfed using find in page for potential hiring post.

Approach

  • Create a custom dataset using web scraper and get our LinkedIn feed
  • Deploy NLP techniques of tokenization, stop-words and lemmitization for our Naive Bayes model

Evaluation Metric

SS-1

Results

SS-2

Detailed Report for Multinomial NB

SS-3

How to use:

  1. first install latest version of python
  2. open the cmd in the folder containing repo and run "pip install -r requirements.txt"
  3. add your linkedin login details in log.py
  4. run the test.py file.

Tech-Stacks

  • Selenium
  • Python

linkedin_jobs_from_post's People

Contributors

naman471 avatar mohitz007 avatar

Stargazers

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Watchers

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