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 my Jupyter Notebook containing all the steps and Python code I used to carry out this project here. View the abridged version below in PDF.