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