Early Detection of Seasonal Outbreaks from Twitter Data Using Machine Learning Approaches
Table 2
Sample tweets related to the dataset for a training set.
Tweet#
Tweet
Class
1.
Day 1 after the Oxford-AstraZeneca vaccine and I have woken up with such a sore arm and feeling like I have got the flu.
Positive
2.
Flu season has been stopped in its tracks this winter.
Negative
3.
My daughter Francine has contracted dengue fever. She is in a critical point of the fever she is very weak and ill. Her chance of survival is reducing every day as her blood platelets have dropped dangerously.
Positive
4.
Dengue season is starting. Make sure you all are removing/changing water from coolers, indoor plants, and other small containers at least once a week.
Negative
5.
Flu season is in full swing, and we are currently in the usual peak months of December and February.
Negative
6.
May the healthcare system be able to handle the added burden of dengue season.
Negative
7.
Been fighting dengue for the last 5 days. Today I finally get to rest.
Positive
8.
My 20-year-old nephew just lost a close friend to dengue. Feeling a little numb and blank on hearing the news.
