Natural Language Processing Python by Yuli Vasiliev (31 results)

Condition: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Condition: acceptable. Book is in acceptable condition and shows signs of wear. Book may also include underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Condition: Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!

paperback. Condition: Very Good. Very Good. Gently used with no markings in text. Binding is tight.

paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condition: New.

Paperback. Condition: new. Paperback. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.You'll also learn how to-Work with word vectors to mathematically find words with similar meanings (Chapter 5)Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)Automatically extract keywords from user input and store them in a relational database (Chapter 9)Deploy a chatbot app to interact with users over the internet (Chapter 11)"Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.By the end of the book, you'll be creating your own NLP applications with Python and spaCy. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New. Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customise your own statistical models to improve text processing.

Condition: New. pp. 216.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: New.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New. pp. 216.

Paperback. Condition: Brand New. 280 pages. 9.25x7.00x0.75 inches. In Stock.

Condition: New. 2020. Paperback. . . . . .

Condition: New. pp. 216.

Condition: New. In.

Condition: New.

Condition: As New. Unread book in perfect condition.

Paperback. Condition: New.

Condition: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: New. Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customise your own statistical models to improve text processing.

Paperback. Condition: new. Paperback. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.You'll also learn how to-Work with word vectors to mathematically find words with similar meanings (Chapter 5)Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)Automatically extract keywords from user input and store them in a relational database (Chapter 9)Deploy a chatbot app to interact with users over the internet (Chapter 11)"Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.By the end of the book, you'll be creating your own NLP applications with Python and spaCy. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condition: NEW.

Paperback. Condition: new. Paperback. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.You'll also learn how to-Work with word vectors to mathematically find words with similar meanings (Chapter 5)Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)Automatically extract keywords from user input and store them in a relational database (Chapter 9)Deploy a chatbot app to interact with users over the internet (Chapter 11)"Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.By the end of the book, you'll be creating your own NLP applications with Python and spaCy. An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Condition: New. Yuli Vasiliev is a programmer, freelance writer, and consultant who specializes in open source development, Oracle database technologies, and natural language processing.An introduction to natural language processing with Python using spaCy, a.

Paperback. Condition: New. Smart Natural Language Processing with Python is an introduction to natural language processing (NLP). The book uses spaCy, a leading Python library for NLP, to guide readers through common NLP tasks related to generating and understanding human language with code. It addresses problems like understanding a user's intent, continuing a conversation with a human, and using syntactic dependencies. It also teaches you how to connect an NLP script to a messaging app, store user data in a database to fill in a form, and customise your own statistical models to improve text processing.

Taschenbuch. Condition: Neu. Neuware - An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library.Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going.You'll also learn how to:Work with word vectors to mathematically find words with similar meanings (Chapter 5)Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7)Automatically extract keywords from user input and store them in a relational database (Chapter 9)Deploy a chatbot app to interact with users over the internet (Chapter 11)'Try This' sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications.By the end of the book, you'll be creating your own NLP applications with Python and spaCy.