Table 2.
Examples of tweets with negative sentiment
| Tweets | Sentiment |
|---|---|
| So between this and CO repeating it’s just a flu and the rest is a dem hoax, | |
| Why the bloody hell blame china?? Had they bloody . | 0.9741 |
| So sad it’s painful to see #CoronaVirusinKenya has become a weapon to | |
| Hurt our people. God be our shield | 0.9604 |
| The most overweight liar? Tells the biggest lies? The most dangerous lies? | |
| The most lies per word spoken? Or all four? | 0.9623 |
| SARS-2 + A NEW AGE; SARS-2 (COVID19) is an opportunity to stop | |
| All the lies from publicly paid servants and fraudulent statement. | 0.9661 |
| Guns at Protests, Looks More like a Threat of Violence... These are the | |
| Crazy Bastards Dangerous Bastards... #MichiganProtest #Michigan | 0.9655 |
| Yea, criminals usually don’t like anyone telling them that they can’t be | |
| Criminals. Fired Up? Well we’re fucking fired up too. So fuck those . | 0.9762 |
| Find them, charge them for assault and braking social distancing laws. | |
| There is no excuse for this! Shameful, disgusting, ... behaviour! | 0.9702 |