Recommendation numbered Nº: 26022020p1
🔘 Book page
-Creative Commons address: nltk.org/book
-Paid version address: amzn.to/2vvft4X
📌 For your review and personal analysis, copy and paste the address of the book page in your browser. The educational and research community will also thank you for evaluating this information (above). The technical, ethical and labor implications of Artificial Intelligence (AI) will affect us all. And it is everyone’s responsibility.
Summary
«This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you’ll learn how to write Python programs that work with large collections of unstructured text. You’ll access richly annotated datasets using a comprehensive range of linguistic data structures, and you’ll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you:
- Extract information from unstructured text, either to guess the topic or identify “named entities”.
- Analyze linguistic structure in text, including parsing and semantic analysis.
- Access popular linguistic databases, including WordNet and treebanks.
- Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence.
» Will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library». (Source:Amazon).
Chapters
- 1. Language Processing and Python
- 2. Accessing Text Corpora and Lexical Resources
- 3. Processing Raw Text
- 4. Writing Structured Programs
- 5. Categorizing and Tagging Words
- 6. Learning to Classify Text
- 7. Extracting Information from Text
- 8. Analyzing Sentence Structure
- 9. Building Feature Based Grammars
- 10. Analyzing the Meaning of Sentences
- 11. Managing Linguistic Data
- 12. Afterword: Facing the Language Challenge
Authors
(Unofficial biography. For informational purposes only).
Steven Bird is Associate Professor in the Department of Computer Science and Software Engineering at the University of Melbourne, and Senior Research Associate in the Linguistic Data Consortium at the University of Pennsylvania. He completed a PhD on computational phonology at the University of Edinburgh in 1990, supervised by Ewan Klein. He later moved to Cameroon to conduct linguistic fieldwork on the Grassfields Bantu languages under the auspices of the Summer Institute of Linguistics. More recently, he spent several years as Associate Director of the Linguistic Data Consortium where he led an R&D team to create models and tools for large databases of annotated text. At Melbourne University, he established a language technology research group and has taught at all levels of the undergraduate computer science curriculum. In 2009, Steven is President of the Association for Computational Linguistics.
Ewan Klein is Professor of Language Technology in the School of Informatics at the University of Edinburgh. He completed a PhD on formal semantics at the University of Cambridge in 1978. After some years working at the Universities of Sussex and Newcastle upon Tyne, Ewan took up a teaching position at Edinburgh. He was involved in the establishment of Edinburgh’s Language Technology Group in 1993, and has been closely associated with it ever since. From 2000-2002, he took leave from the University to act as Research Manager for the Edinburgh-based Natural Language Research Group of Edify Corporation, Santa Clara, and was responsible for spoken dialogue processing. Ewan is a past President of the European Chapter of the Association for Computational Linguistics and was a founding member and Coordinator of the European Network of Excellence in Human Language Technologies (ELSNET).
Edward Loper has recently completed a PhD on machine learning for natural language processing at the the University of Pennsylvania. Edward was a student in Steven’s graduate course on computational linguistics in the fall of 2000, and went on to be a TA and share in the development of NLTK. In addition to NLTK, he has helped develop two packages for documenting and testing Python software, epydoc, and doctest.
🔘 Book page
-Creative Commons address: nltk.org/book
-Paid version address: amzn.to/2vvft4X
📌 For your review and personal analysis, copy and paste the address of the book page in your browser. The educational and research community will also thank you for evaluating this information (above). The technical, ethical and labor implications of Artificial Intelligence (AI) will affect us all. And it is everyone’s responsibility.
🔘 Interesting also take this reference: nltk.org
Please, thank the Publisher
Thank you very much for this useful information to @OReillyMedia, @ewanhklein, @StevenBird, and edward.loper.org via @States_AI_IA #phyton #NLP #free #ebook #ai #artificialintelligence #thebibleai
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| Sheet book | |
|---|---|
| Internal Id | 26022020p1 |
| Author | Steven Bird, Ewan Klein, and Edward Loper |
| Title | Natural Language Processing with Python |
| Book website | 1.- Creative Common Version: [nltk.org/book] 2.- Paid version: [amzn.to/2vvft4X] |
| Publisher (1) associated with ISBN | OReilly |
| Book’s own website as an extra Publisher(2) | nltk.org/book |
| Publication date | Released June 2009 |
| ISBN | 978-0596516499 |
| Observations | Pages, 504 |
| Reviews on the book (if applicable) | Amazon |
| Available for sale at (if applicable) | Amazon |
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| The use of the cover image is restricted to the unequivocal identification of the book to avoid errors in the review and educational recommendation. | Warning 2 The cover book is under the editorial O’Reilly. [(Source image:covers.oreilly.com/images/9780596516499/cat.gif). Creative Commons Attribution Noncommercial No-Derivative-Works 3.0 US License]. |
| We do not provide links (in general) with hypertext to any website. We do this to avoid suggesting any type of commercial or interest relationship of ours in the recommendation. There are no conflicts of interest between the recommender and the recommended. Also to comply with the Intellectual Property Law (IP)/ Copyright, and (finally) let the user that all decisions regarding the use of the material are always personal. And to ensure private use without commercial purposes. The aforementioned, supposes that there is no responsibility of ours regarding the uses of licensing that a specific user may make. | Warning 3 A particular policy |
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| Sheet book |
🔘 Table of associated records
| Rx | Registration ID | Nº |
|---|---|---|
| R0 | Hash MD5 (of R3): | 6b62a5e2a36b02c54883e84a40df2631 |
| R1 | Registration number (in the domain editorialia.com at WordPress): | dmeditorialiawp.3400 |
| R2 | Date-p-order (ddmmyyyypx): | 26022020p1 |
| R3 | Cid (combined id R1+R2): | dmeditorialiawp.340026022020p1 |
| R4 | Resource official title: | Natural Language Processing with Python |
| R5 | Publisher: | OReilly |nltk.org/book |
| R6 | Resource website (1) ( #OpenAccess | #Openscience ): | nltk.org/book |
| R7 | Resource website (2) (Editorial|company): | oreilly.com/library/view/natural-language-processing/9780596803346/ |
| R10 | ISBN13 (without “-“): | 9780596803346 |
| R12 | Authors (separated by commas): | Steven Bird, Ewan Klein, Edward Loper |
| R14 | Keyword (selected 1 among the labels applied to this entry): | =programming |
| R15 | QR code (of the linked url at WP): | |
| R16 | Time stamp URL: | https://web.archive.org/web/20200226213819/https://editorialia.com/2020/02/26/natural-language-processing-with-python/ |
| R17 | Digital signature URL: | Pending signature |
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