Kenneth Benoit and Stefan Müller organized a three-day workshop on Quantitative Text Analysis using quanteda at the University of Bremen from 30 September to 2 October 2020. The workshop covered topics such as an quantitative text analysis and its workflow, an overview of quanteda and how to use it to create core objects, identifying key words based on statistical association measures, identifying multi-word expressions via collocation analysis, computing similarities and distances for clustering, feature weighting and feature selection for textual matrices, dictionary analysis, scaling and classification, and document scaling for measuring ideological positions.
Read moreAt the Hackathon of Why R? 2020 Kenneth Benoit, Managing Director and Founder of the Quanteda Initiative, presented the quanteda package. You can watch the recording of his presentation “Why you should stop using other text mining packages and embrace quanteda” at https://youtu.be/9hEvGBu3cnI.
Read moreOn 23 June 2020, Kenneth Benoit, Managing Director and Founder of the Quanteda Initiative, presented the quanteda R package at LondonR. You can watch the recording of the virtual event at https://youtu.be/MxW0EfgD_wo.
Read moreKenneth Benoit and Stefan Müller conducted a one-day tutorial on quantitative text analysis for absolute beginners at this year’s COMPTEXT conference. COMPTEXT is an international and interdisciplinary symposium on the application of natural language processing techniques to social science research. More details on the tutorial can be found here.
Read moreCOMPTEXT is an international and interdisciplinary symposium on the application of natural language processing techniques to social science research. COMPTEXT was known as POLTEXT until last year and its second conference was organized by Kohei Watanabe (Chief Technology Officer and a Director of the Quanteda Initiative) in Tokyo. COMPTEXT 2020 will take place at the University of Innsbruck (Austria) organized by Lisa Lechner. Kohei is also contributing to the organization of the conference through the university’s Digital Science Center.
Read moreAs part of the pre-conference events at POLTEXT 2019 at Waseda University in Toyko, Stefan Müller conducted a workshop on Quantitative Text Analysis for Absolute Beginners. More information on the course can be found here.
Read moreStefan Müller led a two-day workshop on quantitative text analysis using R and quanteda at the Swiss National Science Foundation (SNSF) in Berne on 30-31 July 2019. Participants from the SNSF learned how to construct a corpus, import textual data, tokenize text, create a document-feature matrix, and train and evaluate supervised classifiers. These steps were not only applied to corpora from the quanteda package, but also to newspaper articles covering the Swiss National Science Foundation.
Read moreKen Benoit led a two-day workshop on quantitative text analysis using R and quanteda at the University of Münster on 27-28 June 2019. Participants from the Department of Political Science learned how to import texts, construct a corpus, tokenize text, create a document-feature matrix, and conduct supervised and unsupervised text classification.
Read moreStefan Müller led a two-day workshop on quantitative text analysis using R and quanteda at the University of Bergen on 25–26 April 2019. The workshop was open to scholars from all across the Faculty of Humanities. Researchers with backgrounds in political science, sociology, psychology, computer science, and linguistics participated in the event. Stefan covered topics such as constructing a corpus, importing textual data, tokenization, creating a document-feature matrix, applying and interpreting textual statistics, building supervised classifiers, as well as running and validating topic models.
Read moreOn Thursday, 24 January 2019 at 3pm, Kenneth Benoit will give a talk at the Public Policy Institute of the University of Auckland about ‘The Ten Most Important Things I’ve Learned about Quantitative Text Analysis’. The presentation includes the epistemology of text analysis, some very practical issues about getting started, some illustrations of pitfalls to avoid, reasons both to embrace and to be wary of open source software, and career issues about developing community projects.
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