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This is a project consisting on the extraction of tweets from users on Twitter where, applying a normalized metric, will result on the detection of possible influencers and people on social media that could help brands sell and promote their products

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luisblazquezm/influencer-detection

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Influencer Detector on Twitter 📢

📲 Introduction

This is a project consisting on the extraction of tweets from users on Twitter where, applying a normalized metric, will result on the detection of possible influencers and people on social media that could help brands sell and promote their products

💻 Structure

This is a high abstraction level representation of the architecture implemented:

  • api : contains the PHP files for frontend and backend functionality following Model View Controller pattern.
  • doc : contains adittional files and content for web development (images, css, js, ...).
  • web : documentation built with Sphinx that details the structure of the code (classes, methods, functions, ...) in the main_analysis folder

🛠 Installation

Main appliance and tools to install:

sudo apt update
sudo apt install python3 python3-pip nodejs libpq-dev -y

Python API can be launched with the launch script in /influencer-detection/src/api:

sudo bash launch.bash

Node server instance will be launch in /web:

sudo npm start

👥 Authors


Luis Blázquez Miñambres

Alvaro Martín Lopez

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This is a project consisting on the extraction of tweets from users on Twitter where, applying a normalized metric, will result on the detection of possible influencers and people on social media that could help brands sell and promote their products

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