Training and Events
Sentiment analysis: How it works and how to use it in the social sciences
|University of Manchester|
Prof Mike Thelwall
View in Google Maps (M16 8EX)
Claire Spencer, 0161 275 4579, firstname.lastname@example.org
This course describes how computers can automatically detect sentiment in text and introduces a leading free sentiment analysis program, SentiStrength. The strengths and weaknesses of sentiment analysis are discussed and methods to customise or improve the sentiment classifications are described and supported by practical sessions.
Introduce automatic methods to detect positive and negative sentiment or sentiment strength in social media texts.
Learn how to apply sentiment analysis software to collections of social media texts and to customise the software.
Participants should have experience as users of social media and basic familiarity with Windows. Linguistic knowledge is not essential but would help with the customisation task.
The course is designed for social science and humanities researchers that would like to apply sentiment analysis to social media data, or to understand the role of sentiment analysis in big data research.
Thelwall, M., & Buckley, K. (2013). Topic-based sentiment analysis for the Social Web: The role of mood and issue-related words. Journal of the American Society for Information Science and Technology, 64(8), 1608–1617.
Thelwall, M., Buckley, K., & Paltoglou, G. (2012). Sentiment strength detection for the social Web. Journal of the American Society for Information Science and Technology, 63(1), 163-173.
Introductory level courses are available via CMIST
8.45 – 9:00 Registration
9:00 – 10:00 Lecture 1
10:00 – 10:30 Coffee/tea
10:30 – 12:15 Practical 1
12:15 – 13:15 Lunch
13:15 – 14:15 Lecture2
14:15 – 16:00 Practical 2
Intermediate (some prior knowledge)
Website and registration
Digital Social Research, Analysis of social media, Big data analytics, Online Data Collection , Big data, Social media data, Social Network Analysis
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