NaCTeM

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

2006-04-28

This workshop aims 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.

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