Downloaded tweets from the most popular news agencies and extract keywords from them. In the next steps, I plotted a word cloud and did a sentiment analysis for tweets that have the keywords.

Classify real disaster tweets using different sequence models like LSTM, Bi-directional LSTM with attention, and transformers (BERT) with best accuracy of 84%

Resource for downloading data from social media sites like Twitter, Facebook,...

We collected real-time tweets data on the topic of "vaccine" as they are posted by users on Twitter using python script, and extracted the tweets for data mining in R. The results has potentials to help develop a targeted health education program for vaccine information.