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Introduction

Social media analysis is all about collecting the most valuable data and drawing actionable conclusions. Text mining, also referred to as text data mining, roughly equivalent to text analytics, is the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning.

In this project, we developed a set of works to go further in Social Media Analysis and Text Mining.

This website intends to present the work analysis for the "Análise de Mídias Sociais e Mineração de Texto" class assignment.

See the final website report at: https://ldaniel.github.io/fgv-social-media-analysis-text-mining.

Professors

  • Gustavo Mirapalheta
  • Eduardo de Rezende Francisco

Authors / Students

Profile Name E-mail
Daniel Campos (daniel.ferraz.campos@gmail.com)
Leandro Daniel (contato@leandrodaniel.com)
Rodrigo Goncalves (rodrigo.goncalves@me.com)
Ygor Lima (ygor_redesocial@hotmail.com)