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Text Data Mining
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Text Data Mining: Learning & Training Resources
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What is Text Data Mining?
Glossary of terms
Getting Started
Obtaining Data
Exploring Data Sources
Citations & Metadata
Data Repositories
Government Documents & Law
Historical & Archival Collections
Linguistic Corpora
Literature
Media
Scholarly Journals
Social Media & Internet Sources
Working with Data
Methods
Tools
Archiving & Sharing the Data
Learning & Training Resources
Text Data Mining Resources
Introduction to web scraping
Hands-on UCSB Library Carpentry workshop lessons.
Text Mining
Berkeley Library - University of California
Text Mining & Computational Text Analysis: Sources
Berkeley Library - University of California
Text Mining: Text Mining Basics
UC Merced Library
Videos Addressing TDM Legal Issues
A series of videos for the Building Legal Literacies for Text Data Mining Institute, first delivered in June 2020.
Training Tools
Lynda.com
Online learning platform free to current USCB staff, faculty and students. The platform has video tutorials and course series on data analysis, text mining, visualization and commonly used software.
SAGE Ocean
SAGE Ocean's YouTube channel to support social scientists to engage with big data and new technologies.
DataCamp
DataCamp has courses such as Learn R, Learn Python, and Learn SQL.
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Books
Text mining with R : a tidy approach
by
Julia Silge, David Robinson
Publication Date: 2017
Quantifying Approaches to Discourse for Social Scientists
by
|Scholz, Ronny
Publication Date: 2019
Text Mining: Concepts, Implementation, and Big Data Challenge
by
Jo, Taeho
Publication Date: 2019
Text Mining in Practice with R
by
Ted Kwartler
Publication Date: 2017
Text Mining and Visualization
by
Markus Hofmann (Editor); Andrew Chisholm (Editor)
Publication Date: 2016
Law and Literacy in Non-Consumptive Text Mining: Guiding Researchers Through the Landscape of Computational Text Analysis
by
Samberg, Rachael Gayza
Publication Date: 2019
R: mining spatial, text, web, and social media data : create and customize data mioning algorithms : a course in three modules
by
Bater Makhabel Pradeepta Mishra Nathan Danneman Richard Heimann
Publication Date: 2017
Practical Text Mining and Statistical Analysis for Non-Structured Text Data Applications
by
Gary D. Miner; John Elder; Andrew Fast; Thomas Hill; Robert Nisbet; Dursun Delen
Publication Date: 2012
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Archiving & Sharing the Data
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