- You can clearly see when Tokyo 2020 was announced on the live broadcast and on the NBC tape-delay.
- It was interesting to see “sad” pick up in usage towards the end of the live broadcast.
- The laughing emoji stayed relatively constant, leading me to believe there were no particularly funny moments.
- The Brits use more positive terms than Americans when discussing their nation’s Olympic team.
In summary, the pervasive negative sentiment I expected to see was not present during the closing ceremonies among tweeters using Rio hashtags. When aggregating tweets, generic subjects and feelings inevitability prevailed, but mapping their relevance over time provided insight about how the broad viewership was reacting. The sentiment analysis tool I used is a rudimentary system that struggled to provide value, especially when the topics themselves were defined by emotions such as “love” or “sad”. It’s possible that different result could be found by incorporating Tweets devoid of hashtags, as hashtag usage tends to be higher among corporate and news-affiliated users.
Here’s a link to my Jupyter Notebook showing how I used TF-IDF, truncated singular value decomposition, and sentiment analysis to acquire my results.