BUILDING SEARCH APPLICATIONS LUCENE LINGPIPE AND GATE PDF

An excellent introduction to the basics of NLP in a practical setting. Link on Morgan and Claypool website This book introduces core natural language processing NLP technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications. Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly. Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks. The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system named entity recognition and relation extraction which build on these components.

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An excellent introduction to the basics of NLP in a practical setting. Link on Morgan and Claypool website This book introduces core natural language processing NLP technologies to non-experts in an easily accessible way, as a series of building blocks that lead the user to understand key technologies, why they are required, and how to integrate them into Semantic Web applications.

Natural language processing and Semantic Web technologies have different, but complementary roles in data management. Combining these two technologies enables structured and unstructured data to merge seamlessly.

Semantic Web technologies aim to convert unstructured data to meaningful representations, which benefit enormously from the use of NLP technologies, thereby enabling applications such as connecting text to Linked Open Data, connecting texts to each other, semantic searching, information visualization, and modeling of user behavior in online networks.

The first half of this book describes the basic NLP processing tools: tokenization, part-of-speech tagging, and morphological analysis, in addition to the main tools required for an information extraction system named entity recognition and relation extraction which build on these components.

The second half of the book explains how Semantic Web and NLP technologies can enhance each other, for example via semantic annotation, ontology linking, and population. These chapters also discuss sentiment analysis, a key component in making sense of textual data, and the difficulties of performing NLP on social media, as well as some proposed solutions.

The book finishes by investigating some applications of these tools, focusing on semantic search and visualization, modeling user behavior, and an outlook on the future. On Amazon. The blurb: "GATE is a free open-source infrastructure for developing and deploying software components that process human language. It is more than 15 years old and is in active use for all types of computational tasks involving language frequently called natural language processing, text analytics, or text mining.

GATE excels at text analysis of all shapes and sizes. From large corporations to small startups, from multi-million research consortia to undergraduate projects, our user community is the largest and most diverse of any system of this type, and is active world-wide. It includes a guide to using GATE Developer and GATE Embedded, and chapters on all major areas of functionality, such as processing multiple languages and large collections of unstructured text.

It also includes complete plugin documentation e. Lucene, LingPipe, and Gate are popular open source tools to build powerful search applications. Building Search Applications describes functions from GATE that include entity extraction, part of speech tagging, sentence extraction, and text tokenization. The book also explains spell check, phrase extraction, index and search, sentiment analysis, clustering, and categorization using Lucene and LingPipe.

This book provides a basic introduction to both fields, and aims to show that good linguistic annotations are the essential foundation for good text analytics. After briefly reviewing the basics of XML, with practical exercises illustrating in-line and stand-off annotations, a chapter is devoted to explaining the different levels of linguistic annotations.

The reader is encouraged to create example annotations using the WordFreak linguistic annotation tool. The second half of the book describes different annotation formats and gives practical examples of how to interchange annotations between different formats using XSLT transformations. The two main text analytics architectures, GATE and UIMA, are then described and compared, with practical exercises showing how to configure and customize them.

The final chapter is an introduction to text analytics, describing the main applications and functions including named entity recognition, coreference resolution and information extraction, with practical examples using both open source and commercial tools.

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