12-03, 20:00–20:30 (UTC), Talk Track I
Let’s scratch the twitter meta-data together and go below the surface with tweepy. Want to find out if the tweets you follow are trying to persuade you to do things? Have the feeling the advocates for some issues use certain emotions to push you in certain directions? Now you can find out
Delve deep into the tweet with me, I’ll take you on a journey through mining twitter API, how the Twitter meta-data is structured and how to reach a specific field, analyzing text, emojis, emotions, and more. An introduction to a variety of python packages. “I show you how deep the rabbit hole goes.” (The Matrix, Morpheus) Whether or not you go down is your choice. A practical lecture, don’t worry if you don’t follow all the code lines - access to the lecture notebooks is promised.
No previous knowledge expected
Dina Bavli is a Data Scientist with experience in NLP, Graph theory, NetworkX, churn prediction, and a growing interest in ASR (automated speech recognition).
Her Master's thesis deals with classifying and characterizing persuasion. She is a former teaching assistant for ML and an international public speaker.
She is a data science content writer for workshops, meetups, and online courses, and an official author of the Towards Data Science and Better Programming publications.
Dina is passionate about data, sharing knowledge, and contributing to society. Whenever she can't find a sufficient tutorial, she creates one.