Social Sensor

Problem Statement

Solutions

Table of Contents

• Features
• Installation
• Dependencies
• License

Features

• Web Scraping Technology

  Social Sensor employs advanced web scraping technology to extract relevant data, focusing on news articles from the Online Khabar portal. This feature ensures a continuous and up-to-date stream of information for users.

  Web Scrapper

  

• Sentiment Analysis

  The application utilizes sentiment analysis to evaluate the tone and sentiment of the gathered data. This feature provides users with valuable insights into how their online mentions are perceived, helping them gauge the overall sentiment surrounding their digital presence.

  Sentiment Analysis

  

• Realtime Visualization

  Implemented a visualizer where you can see the different headings/ news. It clearly helps us visualize the positive, negative and neutral topics.

  Visualization

  

Installation

Prerequisites

Before running Social Sensor, you must set it up by following the given setup procedure. You must set up the Frontend, Backend and Model separately. In case of a query, feel free to contact the contributors.

Setup

Follow the given steps to set up Social-Sensor

1. Clone the repository:

   git clone https://github.com/Ujj1225/Social-Sensor.git

2. Installation of required packages

Frontend

cd Client
npm install

Backend

cd Backend
npm install

Model

cd LSTM_model
pip install -r requirements.txt

3. Setting up .env file for Backend

• Create a .env file

  PORT = (You can use any but default is: 3000)
  CONNECTION_STRING =

4. Running the project:

• Frontend and Backend file must be run together.

Frontend

• Navigate to Client then:

  npm run dev

Backend

• Navigate to Backend then:

  node app.js

You are all set to use the application!

Dependencies

Frontend

• For frontend can be found in package.json

Backend

• For backend can be found in package.json

Model

• Dependencies concerning model are mentioned in requirements.txt

License

This project is licensed under the MIT License.