Bridging quantitative and qualitative methods for social sciences using text mining techniques

Organiser

Dr Sophia Ananiadou, University of Manchester and National Centre for Text Mining

Date and location

28 April 2006, Manchester Conference Centre, University of Manchester.

Summary

This workshop aimed to bring together researchers from different subject areas (computer scientists, computational linguistics, social scientists, psychologists, etc) in order to explore how text mining techniques can revolutionise quantitative and qualitative research methods in social sciences. New technologies from text mining (e.g. information extraction, summarisation, question-answering, text categorisation, sectioning, topic identification, etc.) which go beyond concordances, frequency counts etc can be used for quantitative and qualitative content analysis of different data types (e.g. transcripts of interviews, questionnaire analysis, archives, chatroom files, weblogs, etc). The semantic analysis of new text types, e.g. weblogs; is important for sociologists and political scientists in inferring social trends. Reputation and sentiment analysis collects and identifies people’s opinions, attitudes and sentiments in text. Text mining techniques also aid metadata creation for qualitative data and facilitate their sharing.

Programme

Welcome Address (56kb)
Dr Sophia Ananiadou, University of Manchester, National Centre for Text Mining

The CAQDAS Networking Project (233kb)
Anne Lewins, University of Surrey

Concordances and semi-automatic coding in qualitative analysis: possibilities and barriars (418kb)
Dr Graham Gibbs, University of Huddersfield

The SQUAD Project (Small Qualitative Data) (584kb)
Dr Louise Corti, University of Essex & Dr Maria Milosavljevic, University of Edinburgh

Terminology Management for Text Mining Applications (528kb)
Dr Sophia Ananiadou, University of Manchester, National Centre for Text Mining

Author Identification (424kb)
Dr Katerina Frantzi, University of the Aegean, Greece

Text Analysis within the knowledge Mining Project and Sentiment Analysis (774kb)
Dr Tetsuya Nasukawa, IBM Tokyo Research Lab, Japan

Sentiment Analysis and Financial Grids (511kb)
Dr Lee Gillam, University of Surrey

Computer Assisted Content Analysis (93kb)
Dr Andrew Wilson, Lancaster University