From textual data collected on twitter : -Data mining: Import, cleaning, formatting of tweets -Recovery of the most relevant data -Application of a machine learning algorithm: Vader sentiment analysis to analyze the text to bring out the sentiment hidden behind each word in the tweets -Elaboration of a diagram with plotly to visualize the negativity, neutrality, positivity of the tweets on a delimited period