Open Access
Big data gets big help: Law and policy literacies for text data mining
Author(s) -
Kyle K. Courtney,
Rachael Samberg,
Timothy Vollmer
Publication year - 2020
Publication title -
college and research libraries news
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 23
eISSN - 2150-6698
pISSN - 0099-0086
DOI - 10.5860/crln.81.4.193
Subject(s) - computer science , big data , data science , data mining , information retrieval , world wide web
A wealth of digital texts and the proliferation of automated research methodologies enable researchers to analyze large sets of data at a speed that would be impossible to achieve through manual review. When researchers use these automated techniques and methods for identifying, extracting, and analyzing patterns, trends, and relationships across large volumes of un- or thinly structured digital content, they are applying a methodology called text data mining or TDM. TDM is also referred to, with slightly different emphases, as “computational text analysis” or “content mining.”