Cover of Taming Text

Taming Text

by Grant Ingersoll, Thomas S. Morton, Drew Farris · first published 2012

8mentions
6recommended by
8HN commenters
2010–2017first – last mentioned

75% recommend25% neutral

Why HN recommends it

Practical, code-heavy introduction to text search and NLP for working programmers, with little math; covers everything from naive approaches to what drives engines like Lucene.

Summarised by Claude from recommending comments

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.

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Mentions per year

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What Hacker News says

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