Introduction to Computational Social Science:

Application of Machine Learning Approaches to Text and Survey Analytics

 

 

The Research and Expertise Centre for Survey Methodology (RECSM) of the Pompeu Fabra University (UPF) is happy to announce the 1st edition of the 1st Barcelona RECSM Winter School (February 26th to February 28th 2020)

The Barcelona RECSM Winter School is organized by the Research and Expertise Centre for Survey Methodology (RECSM), located at the Pompeu Fabra University, and it is a three-day program covering one innovative methodological topic each year or edition.

This first year we will offer the course “Introduction to Computational Social Science: Application of Machine Learning Approaches to Text and Survey Analytics”. This is an introduction to Computational Social Science by bringing together the analysis of unstructured (text) and structured (surveys) data in social research.

The course will be taught in English

Target group: Professionals, Researchers and Students who wish to develop medium-high skills in the analysis of big data employing up-to-date statistical methods. Potential attendees include public opinion practitioners, marketing professionals, and social science students and researchers.

Objective: To provide participants with the knowledge of programming in Python (and some R) and retrieving tweets with Streaming and Rest APIs of Twitter, and learning the basics of predictive analytics using structured data to mine survey data. 

Instructor: Dr. Carlos Arcila Calderón, Assistant Professor at the Department of Sociology and Communication at the University of Salamanca, Spain. PhD in Communications and Master in Data Science. Specialist in computational methods in social sciences. (http://diarium.usal.es/carcila/english/)

 

26 February (6 hours)

9:00–11:00

Introduction to Computational Social Science

Break

11:30–13:30

Basic programming in Python 3.4

Lunch Break

15:00–17:00

Data retrieval of tweets with the Streaming and Rest APIs of Twitter

27 February (6 hours)

9:00–11:00

Natural language processing with NLTK

Break

11:30–13:30

Supervised machine learning with Scikit-Learn

Lunch Break

15:00–17:00

Supervised sentiment analysis and visualisation of tweets in real-time

28 February (6 hours)

9:00–11:00

Introduction to predictive analytics

Data formats and ingestion of data

Break

11:30–13:30

Exploratory data analysis

Lunch Break

15:00–17:00

Machine learning to survey data

 

Tuition: 350€

 

Venue: Poblenou Campus

 

For more information contact: [email protected]

 

Registration will open soon!