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Natural language processing with Java and LingPipe cookbook : over 60 effective recipes to develop your natural language processing (NLP) skills quickly and effectively /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
[2014]
|
| Colección: | Quick answers to common problems.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 049 | |a UAMI | ||
| 100 | 1 | |a Baldwin, Breck, |e author. | |
| 245 | 1 | 0 | |a Natural language processing with Java and LingPipe cookbook : |b over 60 effective recipes to develop your natural language processing (NLP) skills quickly and effectively / |c Breck Baldwin, Krishna Dayanidhi. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c [2014] | |
| 264 | 4 | |c ©2014 | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a data file | ||
| 490 | 1 | |a Quick answers to common problems | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | 8 | |a Annotation |b This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial. | |
| 505 | 0 | |a Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Simple Classifiers; Introduction; Deserializing and running a classifier; Getting confidence estimates from a classifier; Getting data from the Twitter API; Applying a classifier to a .csv file; Evaluation of classifiers -- the confusion matrix; Training your own language model classifier; How to train and evaluate with cross validation; Viewing error categories -- false positives; Understanding precision and recall; How to serialize a LingPipe object -- classifier example | |
| 505 | 8 | |a Eliminate near duplicates with the Jaccard distanceHow to classify sentiment -- simple version; Chapter 2: Finding and Working with Words; Introduction; Introduction to tokenizer factories -- finding words in a character stream; Combining tokenizers -- lowercase tokenizer; Combining tokenizers -- stop word tokenizers; Using Lucene/Solr tokenizers; Using Lucene/Solr tokenizers with LingPipe; Evaluating tokenizers with unit tests; Modifying tokenizer factories; Finding words for languages without white spaces; Chapter 3: Advanced Classifiers; Introduction; A simple classifier | |
| 505 | 8 | |a Language model classifier with tokensNaïve Bayes; Feature extractors; Logistic regression; Multithreaded cross validation; Tuning parameters in logistic regression; Customizing feature extraction; Combining feature extractors; Classifier-building life cycle; Linguistic tuning; Thresholding classifiers; Train a little, learn a little -- active learning; Annotation; Chapter 4: Tagging Words and Tokens; Introduction; Interesting phrase detection; Foreground- or background-driven interesting phrase detection; Hidden Markov Models (HMM) -- part-of-speech; N-best word tagging | |
| 505 | 8 | |a Confidence-based taggingTraining word tagging; Word-tagging evaluation; Conditional random fields (CRF) for word/token tagging; Modifying CRFs; Chapter 5: Finding Spans in Text -- Chunking; Introduction; Sentence detection; Evaluation of sentence detection; Tuning sentence detection; Marking embedded chunks in a string -- sentence chunk example; Paragraph detection; Simple noun phrases and verb phrases; Regular expression-based chunking for NER; Dictionary-based chunking for NER; Translating between word tagging and chunks -- BIO codec; HMM-based NER; Mixing the NER sources; CRFs for chunking | |
| 505 | 8 | |a NER using CRFs with better featuresChapter 6: String Comparison and Clustering; Introduction; Distance and proximity -- simple edit distance; Weighted edit distance; The Jaccard distance; The Tf-Idf distance; Using edit distance and language models for spelling correction; The case restoring corrector; Automatic phrase completion; Single-link and complete-link clustering using edit distance; Latent Dirichlet allocation (LDA) for multitopic clustering; Chapter 7: Finding Coreference Between Concepts/People; Introduction; Named entity coreference with a document; Adding pronouns to coreference | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 630 | 0 | 0 | |a LingPipe (Electronic resource) |
| 630 | 0 | 7 | |a LingPipe (Electronic resource) |2 fast |
| 650 | 0 | |a Natural language processing (Computer science) | |
| 650 | 0 | |a Java (Computer program language) | |
| 650 | 6 | |a Traitement automatique des langues naturelles. | |
| 650 | 6 | |a Java (Langage de programmation) | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x General. |2 bisacsh | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x Java. |2 bisacsh | |
| 650 | 7 | |a Java (Computer program language) |2 fast | |
| 650 | 7 | |a Natural language processing (Computer science) |2 fast | |
| 700 | 1 | |a Daynidhi, Krishna, |e author. | |
| 776 | 0 | 8 | |i Print version : |a Baldwin, Breck. |t Natural Language Processing with Java and LingPipe Cookbook. |d Birmingham, UK : Packt Publishing, 2014 |z 9781783284672 |w (OCoLC)898998034 |
| 830 | 0 | |a Quick answers to common problems. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=918203 |z Texto completo |
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| 938 | |a ProQuest MyiLibrary Digital eBook Collection |b IDEB |n cis30218167 | ||
| 994 | |a 92 |b IZTAP | ||