A Sentiment Analysis Project using Python and Tableau

Image for post
Image for post
Photo by Claudio Schwarz on Unsplash

A lot happened this year and if you watch the movie “Death to 2020” on Netflix, you will have an idea of the timeline of events. For this project, I thought it would be interesting to gain insights into what Twitter users had to say about 2020. Twitter receives more than 500 million tweets a day, so all I had to do was find a way to retrieve these tweets and analyze them. However, before embarking on this project, I had no idea what strategy to use. So I found myself browsing through dozens of articles on various concepts in Natural Language Processing (NLP) and while reading these articles, I became more interested in the topic. The tweets used for this project were created between 12 and 25 December 2020. If you tweeted about 2020 during this period, there is a good chance your tweet is part of this analysis. …

A New Immigrant’s Guide to settling in the City of Toronto


When I began this project, I came across a news article which read “Canada to welcome 1.2 million immigrants by 2023” [1]. This made me excited for the millions of people looking for a pathway to Canada since I recently relocated here. A 2020 US news ranking showed Canada as the 2nd best country in the world, so it is not a surprise that every year, thousands of people choose to migrate here [2]. Asides from having a stable economy and many growth opportunities, Canada has offered many immigrants a new home. In 2019, Canada opened its borders to 341,000 people with 35% of them settling in the City of Toronto [3]. …


Jessica Uwoghiren

Passionate about Data Analytics | I tell stories with data | A lover of well-written books

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store