27.337, Summer Schools: Text Mining The Great Unread - Data-Intensive Methods and Digital Tools for Analysis of Text in the Humanities and Social Sciences/Denmark

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LINGUIST List: Vol-27-337. Mon Jan 18 2016. ISSN: 1069 - 4875.

Subject: 27.337, Summer Schools: Text Mining The Great Unread - Data-Intensive Methods and Digital Tools for Analysis of Text in the Humanities and Social Sciences/Denmark

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Date: Mon, 18 Jan 2016 15:51:44
From: Hilke Reckman [reckmanhgb at gmail.com]
Subject: Text Mining The Great Unread - Data-Intensive Methods and Digital Tools for Analysis of Text in the Humanities and Social Sciences/Denmark

 

Text Mining The Great Unread - Data-Intensive Methods and Digital Tools for Analysis of Text in the Humanities and Social Sciences/Denmark

Host Institution: Aarhus University, Denmark
Coordinating Institution: Aarhus University, Denmark
Website: http://http://www.au.dk/en/summeruniversity/courses/text-mining-the-great-unread/

Dates: 25-Jul-2016 - 05-Aug-2016
Location: Aarhus, Denmark

Focus: “Text Mining the Great Unread” is an introductory level course to text mining tools and methods in the humanities and social sciences, which will supply participants with sufficient knowledge and experience to develop and implement their own text mining projects.

Text mining enables students to extract high quality information and acquire new knowledge in a fast and efficient manner, and enhances the qualifications of students for a data-driven job market that is relying on the very same tools and methods.
Minimum Education Level: Undergraduate


Description:
The core of the course is a series of hands-on workshops supplemented by
lectures and tutorials by international researchers and industry experts.
Through the course, participants will become familiar with text mining methods
and software for analyzing and visualizing texts. Participants will learn how
to write their own text mining application in R and Python. Through the
workshops, participants will also be presented with a range of paradigmatic
studies and go through explain research design, best practice, and reporting
standards. It is possible to work with one’s own corpus, but historical and
contemporary corpora (both works of fiction, historical documents and
websites) are also available in class. Participants are not expected to have
prior experience with text mining (i.e., programming, statistics, or
visualization).


Linguistic Field(s): Applied Linguistics
                      Cognitive Science
                      Computational Linguistics
                      Ling & Literature
                      Sociolinguistics
                      Text/Corpus Linguistics

Tuition Explanation: Tuition depends on student's citizenship and home institution


Registration: 01-Dec-2015 to 15-Mar-2016

Contact Person: International Office AU Student Administration and Services
                Phone: +45 8715 0220
                Email: summeruniversity at au.dk

Apply on the web: http://http://www.au.dk/en/summeruniversity/application/application/aususys/

Registration Instructions:
Different conditions apply for different categories of students. Most
information can be found on the website. With questions about the registration
process, please contact summeruniversity at au.dk. With questions about the
course itself (or if you get stuck) please contact the instructors Hilke
Reckman (reckmanhgb at gmail.com) and Kristoffer L. Nielbo (kln at cas.au.dk).




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