Text and data mining are, as has been shown throughout this book, wide-ranging areas of practice. There is, therefore, no single short list of software or data resources. It is not possible to provide a comprehensive overview of all libraries and tools available for text and data mining, because this is an extensive area that would require a book of its own.
Miner et al. (2012) identify seven types of text mining, including:
1. Search and information retrieval. Storage retrieval of text documents including search engines and keyword search.
2. Document clustering. Grouping and categorising terms, snippets, paragraphs or documents using clustering methods.
3. Document classification. Grouping ...