Sentiment analysis: How it works and how to use it in the social sciences

Date:

12/01/2017

Organised by:

University of Manchester

Presenter:

Prof Mike Thelwall

Level:

Intermediate (some prior knowledge)

Contact:

Claire Spencer, 0161 275 4579, claire.spencer@manchester.ac.uk

Map:

View in Google Maps  (M16 8EX)

Venue:

Basement Lab
Cathie Marsh Institute
Humanities Bridgeford street
University of Manchester M13 9PL

Description:

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.

Objectives

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.

Prerequisites

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.

Recommended Reading

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

http://www.cmist.manchester.ac.uk/study/short/introductory/

 

PROGRAMME

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

 

Cost:

Fees
For UK registered postgraduate students
£30.00
For staff at UK academic institutions, ESRC funded researchers and registered charity organisations
£60.00
For all other participants
£220.00

Website and registration:

Region:

North West

Keywords:

Digital Social Research, Analysis of social media, Big data analytics, Online Data Collection , Big data, Social media data, Social Network Analysis

Related publications and presentations:

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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