Forneus-1901 / Education_Platform_Comparsion_Sytem-Sentiment_Analysis

The Education Platform Comparison System - Sentiment Analysis employs natural language processing to analyze user feedback from educational platforms, aiding stakeholders in informed decision-making. Its backend utilizes MongoDB for data management, while the frontend offers user interaction through a live server.

Step to run the program

You need to run this program using python version 3.7 and download MongoDB for database

Create the environment and download the dependencies using following command

pip install virtualenv
virtualenv env
pip install -r requirements.txt

If some error occur while downloading the dependencies then download alll module manually which are:

Commands for installing required module

- pip install pymongo
- pip install transformer
- pip install scipy
- pip install tweepy
- pip install config

For intstalling pytorch

1. In Windows/Linux:

    pip3 install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu113

Have to create the .env file with following API KEYS

API_KEY= **Twitter API KEY**
API_KEY_SECRET = **Twitter API KEY**
ACCESS_TOKEN =**Twitter ACESS TOKEN**
ACCESS_TOKEN_SECRET =**Twitter ACCESS_TOKEN_SECRET**
OPENAI_APIKEY=**OPENAI CHATGPT API KEY**

Backend /Server

It has 4 main files

the entry file is app.py -> from where the application start running

the dependency files are -> extraction, analyser, SentimentalModals respectively

These files are server file. To run this, type in terminal

python ./app.py

Frontend

open the main.html file and run with live server

Note: You have to keep index.html & style.css file into another folder and have to open with new instance of IDE bcz due to backend development server , the frontend file is getting refershed if kept in single folder and ran in same window of IDE

test1.py is for testing purpose only