28.1012, Summer Schools: Text Mining The Great Unread - Data-Intensive Methods and Digital Tools for Analysis of Text in the Humanities and Social Sciences/Denmark

[The LINGUIST List]

LINGUIST List: Vol-28-1012. Mon Feb 27 2017. ISSN: 1069 - 4875.

Subject: 28.1012, 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, 27 Feb 2017 10:40:47
From: Kristoffer Nielbo [kln at cas.au.dk]
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

Host Institution: Aarhus University, Denmark
Coordinating Institution: Aarhus University, Denmark
Website: http://www.au.dk/en/summeruniversity/courses/text-mining-the-great-unread-data-intensive-methods-and-digital-tools-for-analysis-of-texts-in-the-humanities-and-social-sciences/

Dates: 24-Jul-2017 - 04-Aug-2017
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contemporary corpora (both works of fiction, historical documents and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): Computational Linguistics
                      Ling & Literature
                      Text/Corpus Linguistics

Registration: 01-Dec-2016 to 15-Mar-2017

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

Apply by Email: summeruniversity at au.dk
Apply on the web: http://www.au.dk/en/summeruniversity/ausummeruniversity/

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 summeruniversityau.dk. With questions about the course
itself (or if you get stuck) please contact the instructor Kristoffer L.
Nielbo (klncas.au.dk).




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LINGUIST List: Vol-28-1012	
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