Text and data mining refers to the processes by which "text or datasets are crawled by software that recognizes entities, relationships, and action." -- GALE, 2017. Text and data mining is an important, new area for academic researchers largely because the output of these processes can result in detecting patterns, trends and also drawing new conclusions.
McGill Library can facilitate access to text corpora for McGill researchers. Assistance can entail helping you locate textual data sources, negotiate access to textual collections for text mining, and, in some cases, purchase or license data. We can also help you find and use tools for managing and analyzing textual data.
See the following related guides for:
Network Analysis & Data Visualization for Humanities and Social Sciences
Creating digital books and exhibits as well as interactive map and timelines: Digital and Multimedia Publishing guide
GIS software & tools: Maps and Geospatial Data guide
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