The enormous impact and the huge data available in social media makes it a prime application space for employing machine learning algorithms. The workshop will provide a hands-on attractive coverage of a variety of machine learning algorithms and applications that can be employed to analyze the social media data.
No prior knowledge in the field is required to participate in the workshop. Prior experience with any programming language is welcomed. The workshop will cover social media data mining in Python. The participants will learn basics of the social media data mining environment as well as implementation of different machine learning techniques in Python.
9:30 am :- Introduction to Social Media and Mining
Social Data mining overview, application
Social Data mining Tasks
10:45 am :- Break
11:00 am :- Introduction to Python, Python as a modern programming language.
Environment setup (num.py, sci.py, scikit-learn, mathplotlib)
12:30 pm :- Lunch Break
1.00 pm :- Machine Learning in Social Media Data
Introduction to Twitter Data
Collecting data and analyzing the Twitter text, networks
2:30 pm :- Tea Break
2:45 pm :- Maching Learning with Facebook data
Collecting Facebook data
Pre processing of Facebook data
Discovering the posting patterns and more.
4:30 pm :- End