Facebook Comment Analyzer

A REST API based applications with following salient features:

Stacks Used:

• Python 3.7
• Django 3.2.6
• React.JS/CSS
• MySQL

Frontend: React.JS

1. Home Page:

• A Form where the user can specify the keyword and start the search.
• Previous search keywords are shown as search suggestions.

2.Query Search:

• Added a loader component to show processing request react-loader

3.Results Page:

• Comments arranged in tabular format with percentage of sentiment scores.
• Cummalative sentiment is dispalayed along with the search term.
• Conditional rendering of elements attributes based on state variables.

Backend: Python + Djnago REST + Django REST

4.Views:

• Class Based API Views for GET and POST requests.
• Used Django for Rest APIs.
• Model Serializers for serializing/deserializing objects of PostComment and SearchKeyword Models.
• Added logger for debugging the project.

5.Models:

• Models for saving Search Keywords and PostComments
• Implemented Foreign Key relation between the models.

6.Utils:

• Selenium based request client for collecting comments from Facebook posts,taking screenshots and getting matching results.
• Saperate directory for saving Search termwise comments screenshots
• Text analyzer implemented using NTLK package

Database: SQL

• Used MySQL database for saving Search Keywords and Post Comments.

Running the code : On Ubuntu

Frontend:

Navigate to the frontend-app directory:

cd frontend-app

Install the dependencies from npm:

sudo npm install

Run the dev server (starts on localhost:3001/3000):

sudo npm start

Backend:

To get the Django server running:

Install the requirements from pip

pip install -r requirements.txt

Run django's development server (starts on localhost:8000):

python manage.py runserver

NOTE:

Add your own Facebook login credentials in Django settings file for testing the project. 🌟🌟🌟