Tweet-Driven Mozfest-Storytelling
[ UUID ] 8a03c5b8-5a0a-4edd-880b-dab791ccbe3d
[ Session Name ] Tweet-Driven Mozfest-Storytelling [ Primary Space ] Openness [ Secondary Space ] Decentralisation
[ Submitter's Name ] Shadab Hussain [ Submitter's Affiliated Organisation ] Education, Training and Assessment- Data Science at Infosys Ltd. [ Submitter's GitHub ] @shadab-entrepreneur
[ Language ] Hindi
[ Localisation Support Requested ] No, I can host the session myself
What will happen in your session?
In this session, together we will analyze the Live Tweets for the MozFest 2018 using a platform built on python libraries. The attendees will create a number of visualizations using their phone/laptop based on data sets and we will discuss best ways of presenting data and engaging with the audience in order to analyze sentiments. The session will consist of following parts: -Data Science LifeCycle -[Few Surprises] -A hands-on part where attendees will scrape, explore & visualize data on worldmap or through wordcloud for #mozfest2018 -A more general discussion about how accessible and engaging data science can restore trust in statistics and facts
What is the goal or outcome of your session?
-The attendees will get to know what people are tweeting about Mozfest -They will get the emotional tone behind a series of words, used to gain an understanding of the attitudes, opinions and emotions expressed within an online mention -They will be able to classify tweets as positive, neutral or negative -They will be able to gain an overview of the wider public opinion behind certain topics -The attendees will realize the potential of Data and they will get to know how to use data to support facts or how they can solve a particular problem using data
If your session requires additional materials or electronic equipment, please outline your needs.
Projector and WiFi, Attendees should have laptop(in case they don't have, they can still learn from the live demo and can access the files later on from the public folder or even they can sit in the group with at least one participants having a laptop)
Time needed
90 mins