Collected knowledge for myself and anyone interested

Sentiment Analysis with Python

I have created a sample python code to show sentiment analyis and language processing.


This is a sample project with the features below:

  • Dockerfile and docker-compose for easy deploy and test
  • Using Tornado web server
  • Using SQLAlchemy ORM
  • Have a sngle page to submit a URL
  • Makes sentiment analysis of the submitted URL by using
  • Also counts all the words after cleaning stop words with nltk library
  • Displays a word cloud according to number of frequency for top 100 words
  • The words are saved to database using asymmetrical encryption
  • The urls are also saved to database with sentiment result
  • Has an admin page to display the words and urls in database
  • In frontend uses Bootstrap4
  • For tables in admin page uses Datatables

github link: 

sentiment analysis

sentiment analysis