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|a QA76.9.N38
|b S69 2020
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|a 006.35
|2 23
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| 245 |
1 |
0 |
|a Practical natural language processing :
|b a comprehensive guide to building real-world NLP systems /
|c Sowmya Vajjala... [et al.].
|
| 250 |
|
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|a First edition.
|
| 264 |
|
1 |
|a Sebastopol, CA :
|b O'Reilly Media,
|c 2020.
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| 264 |
|
4 |
|c ©2020
|
| 300 |
|
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|a xxvii, 424 pages :
|b illustrations ;
|c 24 cm.
|
| 504 |
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|a Includes bibliographical references and index.
|
| 505 |
0 |
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|a Part 1. Foundations. NLP: a primer ; NLP pipeline ; Text representation -- Part 2. Essentials. Text classification ; Information extraction ; Chatbots ; Topics in brief -- Part 3. Applied. Social media ; E-commerce and retail ; Healthcare, finance, and law -- Part 4. Bringing it all together. The end-to-end NLP process.
|
| 520 |
|
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|a "Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You'll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail."--
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|a Natural language processing (Computer science).
|9 51559
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|a Application software
|x Development.
|9 51560
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| 650 |
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|a Text data mining.
|9 51561
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| 650 |
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|a Machine learning.
|9 51562
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|a Application software
|x Development.
|2 fast
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| 650 |
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|a Machine learning.
|2 fast
|9 51562
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| 650 |
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|a Natural language processing (Computer science)
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|a Text data mining.
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|a Vajjala, Sowmya,
|e author.
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|a Majumder, Bodhisattwa,
|e author.
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|a Gupta, Anju,
|e author.
|9 51565
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| 700 |
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|a Surana, Harshit,
|e author.
|9 51566
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