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Collecting and analysing social media data using Python

Prerequisite is Introduction to Python

This workshop provides an introduction to the main methods used to access, download and store social media data, as well as an overview of the methods used to analyse social media data. You will learn how to use Twitter's APIs to collect tweets and user details, and what the latest Facebook data collection restrictions and permissions are. We will discuss different options for storing social media data, cleaning and pre-processing data, basic text analysis notions and data analysis methods applied to short text and network data.

NOTE:

1. Participants are required to attend the "Introduction to Python and Data Analytics in Python" workshop first or have working knowledge of Python and the material covered in the introductory workshop.

 

Instructor

Dr. Iulia Cioroianu

Institute for Policy Research

University of Bath

Iulia holds a Ph.D. in Political Science from New York University and an M.A. from Central European University. Before joining the University of Bath as a Prize Fellow in the Institute for Policy Research she was a research fellow in the Q-Step Centre for quantitative social sciences at the University of Exeter, and a pre-doctoral fellow in the LSE Department of Methodology. Iulia is a social data scientist who studies the effects of social media and online information exposure on political competition and polarization using natural language processing and quantitative text analysis, machine learning and survey experiments.

 

Collecting and Analysing Social Media Data using Python

Prerequisite is Intro to Python

This workshop provides an introduction to the main methods used to access, download and store social media data, as well as an overview of the methods used to analyse social media data. You will learn how to use Twitter's APIs to collect tweets and user details, and what the latest Facebook data collection restrictions and permissions are. We will discuss different options for storing social media data, cleaning and pre-processing data, basic text analysis notions and data analysis methods applied to short text and network data.

NOTE:

1. Participants are required to attend the "Introduction to Python and Data Analytics in Python" workshop first or have working knowledge of Python and the material covered in the introductory workshop.

 

Instructor

Dr. Iulia Cioroianu

Institute for Policy Research

University of Bath

Iulia holds a Ph.D. in Political Science from New York University and an M.A. from Central European University. Before joining the University of Bath as a Prize Fellow in the Institute for Policy Research she was a research fellow in the Q-Step Centre for quantitative social sciences at the University of Exeter, and a pre-doctoral fellow in the LSE Department of Methodology. Iulia is a social data scientist who studies the effects of social media and online information exposure on political competition and polarization using natural language processing and quantitative text analysis, machine learning and survey experiments.