Skip to content

TobiasHollander/Twitter-Emotional-Words-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

9 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Twitter Emotional Words Analysis | Random Sample of Tweets

Introduction

As a former Preschool Teacher, part of my ongoing education was to gain more credentials in Early Childhood Education which led me to focus on a key developmental milestone: Social and Emotional Skills.

Learning this subject matter and how to utilize tools for teaching my class was the catalyst for my new found interest and hobby in emotional intelligence and human behavior.

Over a person’s life, new experiences shape social and emotional skills like a ripple effect in water.

Thus, my curiosity in how Twitter users express themselves on the social media platform. 💬

“Emotions drive learning, decision-making, creativity, relationships, and health.”–Yale Center for Emotional Intelligence


Data Questions

In my capstone presentation for Nashville Software School, I answer these data questions:

  • What types of emotions do Twitter users tweet about more often?
  • Do users have a wide emotional vocabulary for describing their feelings?
  • Does the type of emotional expression affect the length of a tweet?


Technologies

  • Python 3
  • Pandas
  • RE (Regular Expressions)
  • Matplotlib
  • Jupyter Notebook


Data Source



About

Analysis of a random sample of Twitter tweets.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published