Opinix

About Project

The project Opinix is an extensive effort aimed at tackling the growing problems related to e-commerce. Currently, this is the era of e-commerce, and most people prefer purchasing products online. There are thousands of reviews on each product and to go through each review and analyze the sentiment of every customer is a complicated task. Through the use of machine learning, web scraping, and sentiment analysis, the Opinix web application analyzes user evaluations and presents the opinions of a customer in a visually pleasing way.

Project goal

The goal of this project is to create a platform through which companies can easily analyze the sentiments of customers on their products and look out for room for improvement if there is any. Through the extraction of significant data from the huge world of consumer evaluations, Opinix hopes to transform decision-making processes across a range of application domains, including online shopping platforms, brand feedback, and customer service improvement.

Demo
Features
Technologies
Installation
License

Demo

demo-opinix.mp4

Features

Web scraping using browserless and puppeteer
Highly efficient and accurate sentiments of individual reviews, sentiments over time, keywords and overall sentiments
Authentication and storage using firebase

Technologies

Browserless,Puppeteer
React, D3, Chart.js
Redux Toolkit
Django
Node.js
Bi-LSTM
Firebase

Installation

Prerequisites

You will need to install git lfs. You can install it by here

Setup

Clone the repository:

git clone https://github.com/parikshit-adhikari/opinix.git

Change directory to Opinix
```
cd Opinix
```
Pull from git lfs
```
git lfs pull
```
Track the large files
```
git lfs track "*.txt"
```

FrontEnd

Change directory to frontend
```
cd frontend
```
Installation of node packages
```
 npm i
```
Running the project:
```
npm run dev
```

Backend

Change directory to backend
```
cd backend
```
Installation of necessary modules
```
 pip install -r requirement.txt
```
Create migration files
```
python3 manage.py makemigrations
```
Apply the migrations to the database
```
python3 manage.py migrate
```
Running the project:
```
python3 manage.py runserver
```
Navigate to browserless directory and run:
```
npm i
```
then:
```
npm start
```
Now, in the same directory (i.e. browserless) create a .env file and add the following:
```
TOKEN = <your_token>
BROWSERLESS_PORT = 3000
```
Then run the command to pull and run the docker image for browserless:
```
docker run \
  --rm \
  -p 3000:3000 \
  -e "CONCURRENT=10" \
  -e "TOKEN=6R0W53R135510" \
  ghcr.io/browserless/chromium
```

License

This project is licensed under the MIT License.

Dovineowuor/opinix-sentiment-analytics-tool