This intensive course will give users a familiarity with various automated text analysis approaches including classification (machine learning), clustering/topic modelling, dimension reduction, and
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Working Groups: Berkeley Machine Learning Group
Tuesdays 5pm - 7pm (June 17 - August 26)
In this working group you will learn about Machine learning and how to apply it on a concrete project.
Training: Automatic Text Analysis in R INTENSIVE
June 3, 2014 to June 4, 2014
This INTENSIVE course will give users a familiarity with various automated text analysis approaches including classification (machine learning), clustering/topic modelling, dimension reduction, and
Training: Webscraping
April 16, 2014
This workshop will cover how to create, customize, and run a web scraper using python and scrapy. We will learn how to locate and extract data from HTML web pages using the Document Object Model.
March 7, 2014
This 2-hour workshop is for social and behavioral scientists who want to gain access to and use Twitter data in their research.
March 7, 2014
This 2-hour workshop is for social and behavioral scientists who want to gain access to and use Twitter data in their research.
Training: Webscraping with Python
December 3, 2013
Web scraping is a powerful and increasingly important tool for social science researchers.
Working Groups: Digital Humanities Working Group
Every other Monday 1:00pm - 2:00pm (See Description)
D-Lab coordinates and collaborates with the Townsend Center's working group on the Digital Humanities, an interdisciplinary
August 1, 2013
Social science research frequently involves analyzing collections of text: interview transcripts, letters, pamphlets, newspaper articles and other kinds of documents.
