An Analysis of Nigerian Airline Passengers' Perceptions via Tweets

Tools Used: Python and Tableau

PROJECT OVERVIEW

For this project, I wanted to view X users' perceptions about different major Nigerian airlines, in order to come up with the airline with the highest proportion of positive sentiments. To do this, I used the python library, Twscrape, to scrape tweets from X (formerly Twitter), and then analyzed these tweets and performed sentiment analysis using various text processing libraries in python. I documented my approach in an article published in the Medium publication Level Up Coding. Please read the article here. 

See below my Jupyter Notebook containing all the steps and Python code I used to carry out this project. If you would like to reference the Jupyter Notebook later, please use this link.