Taming Text

By Drew Farris, Grant Ingersoll, Thomas S. Morton

Subjects: Methods, Natural Language Processing, Information Storage and Retrieval, Apache Solr, Data Mining, Text processing (Computer science)

Description: 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.