Social Media Data Analysis

Date:

29/05/2020

Organised by:

Cathie Marsh Institute

Presenter:

Professor Mike Thelwall

Level:

Entry (no or almost no prior knowledge)

Contact:

Laura Swift
0161 275 1980
cmi-shortcourses@manchester.ac.uk

Map:

View in Google Maps  (M13 9PL)

Venue:

Humanities Bridgeford Street
University of Manchester
Oxford Road
Manchester

Description:

Outline

This course describes how to use free Windows software Mozdeh to gather tweets and to download comments on YouTube videos. The course will also describe simple and big data-style text analysis methods to gain insights into the meaning of the downloaded texts and to identify patterns within the data. Analysis methods will cover identifying topic, gender, time and sentiment differences in tweets or comments.

Objectives

You will learn to use the free Mozdeh Windows software to:

  • Learn how to gather social media texts from Twitter and YouTube.
  • Learn simple techniques for interrogating the downloaded texts to gain insights into topics of discussion.
  • Learn simple data mining techniques to identify trends and patterns in the data.
  • Learn about the limitations of social media data analysis.

Participants will learn to use the free Mozdeh software to:

  • Gather tweets from specified users or matching a set of keyword queries
  • Gather comments on one or more YouTube videos
  • Simple quantitative methods in Mozdeh, such as word frequency analysis, gender difference detection, sentiment analysis and time-series graphs.
  • Word frequency comparison methods in Mozdeh to data-mine patterns in the texts.

Prerequisites

Participants should have a basic familiarity with YouTube and Twitter, and be prepared to learn to use new software. Familiarity with Microsoft Windows is needed.

Cost:

£195/£140/£60

Website and registration:

Region:

North West

Keywords:

Digital Social Research, Analysis of social media, Online Data Collection , Big data, Online communities, Social media data, ICT and Software

Related publications and presentations:

Digital Social Research
Analysis of social media
Online Data Collection
Big data
Online communities
Social media data
ICT and Software

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