During the covid pandemic, people have turned to social media to vent out their feelings. It would be interesting to analyse covid-related tweets by the public to see how they have changed over time.

What it does

We used a twitter dataset to analyse how hashtags about covid related terms evolve our time. We analysed the counts of the hashtags, grouped them by country and visualised them in interactive and animated plots. We also extracted the top frequent words in countries in the form of word clouds.

What's next for Twitter tweets analysis

Use it with a larger dataset which comprises of tweets from a longer duration

Built With

Share this project: