Sentiment Analysis in Julia with TextAnalysis.jl | Tom Kwong

In this video, Tom will explain how he used TextAnalysis.jl to process a Twitter dataset and develop a simple Naive Bayes Classifier for sentiment analysis. Towards the end of the video, I will use the Twitter API to download some tweets and make predictions. The exercise was done as part of a weekly contest at the Humans-of-Julia Discord server. I did everything in an interactive Pluto notebook, and the source code is available at https://github.com/Humans-of-Julia/WeeklyContest/tree/main/Week2-TextAnalysis.jl/tk3369 If you are interested in joining the Discord community, here's an invite link: https://discord.gg/mm2kYjB