A System to Predict an Outbreak of a Disease using Twitter Data
Sneha M. Yadav · International Journal for Research in Applied Science and Engineering Technology · 2021
Social media (Twitter) data can be analyzed by the system to provide data regarding the diseases by checking the location from the tweets retrieved from Twitter. This will be done by searching for the disease in the system. Using tweets most used hash tag is retrieved to find out which disease is discussed to spread the awareness and it is helpful to prevent spreading of communicable Disease. Detecting the diseases that are widely spread in the society and predicting future stages of the diseases has become very important in modern life. The System is to make people aware of the Epidemic diseases in a particular location. The people can also search for other non-communicable diseases to check the tweets helpful to them in providing information regarding the disease. As many people are using social media to share different information we are utilizing this fact to make our system more efficient and reliable by taking the data from Twitter and analyzing various factors like sentiments, location. This can be utilized by anyone who needs information regarding the disease and can be utilized to support clinical providers, public health experts, social scientists, healthcare providers and Government.