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© 2026 Ann Mathenge · Built with love, coffee, and cat hair.
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© 2026 Ann Mathenge · Built with love, coffee, and cat hair.
By Thomas S. Morton, Grant Ingersoll, Drew Farris
Taming Text provides hands-on examples for working with unstructured text data. It covers techniques such as full-text search, named entity recognition, clustering, tagging, information extraction, and summarization. These techniques are demonstrated using real-world applications built with open-source libraries like Solr and Mahout. The book guides readers through each topic and its foundations in a clear and concise style without requiring background in statistics or natural language processing. It is written for Java developers but the concepts can be applied in any language.
Published
2012
Format
[electronic resource] :
Pages
-
Language
English
ISBN
9781933988382