Natural language processing in action understanding analyzing and generating text with python

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new edition available

Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models.

From the Foreword by Dr. Arwen Griffioen, Zendesk

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.

about the technology

Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.

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about the book

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

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  • Natural Language Processing in Action ebook for free

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  • Natural Language Processing in Action ebook for free

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  • share your subscription with one other person
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  • Natural Language Processing in Action ebook for free

team

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  • Natural Language Processing in Action ebook for free

choose your plan

pro

  • share your subscription with one other person
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  • choose twelve free products per year
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  • Natural Language Processing in Action ebook for free

team

  • five seats for your team
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  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Natural Language Processing in Action ebook for free

new edition available

Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models.

From the Foreword by Dr. Arwen Griffioen, Zendesk

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.

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about the technology

Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.

about the book

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Источник

Хобсон, Ханнес, Коул: Обработка естественного языка в действии

Natural Language Processing in Action. Understanding, analyzing, and generating text with Python

Хобсон, Ханнес, Коул - Обработка естественного языка в действии обложка книги

Аннотация к книге «Обработка естественного языка в действии»

Последние достижения в области глубокого обучения позволяют создавать приложения, с исключительной точностью распознающие текст и речь. Что в результате? Появляются чат-боты, ведущие диалог не хуже реальных людей, программы, эффективно подбирающие резюме под заданную вакансию, развивается превосходный предиктивный поиск, автоматически генерируются аннотации документов. Благодаря новым приемам и инструментам, таким как Keras и Tensorflow, сегодня возможно как никогда просто реализовать качественную обработку естественного языка (NLP).
«Обработка естественного языка в действии» станет вашим руководством по созданию программ, способных распознавать и интерпретировать человеческий язык. В издании рассказано, как с помощью готовых пакетов на языке Python извлекать из текста смыслы и адекватно ими распоряжаться. В книге дается расширенная трактовка традиционных методов NLP, что позволит задействовать нейронные сети, современные алгоритмы глубокого обучения и генеративные приемы при.

Последние достижения в области глубокого обучения позволяют создавать приложения, с исключительной точностью распознающие текст и речь. Что в результате? Появляются чат-боты, ведущие диалог не хуже реальных людей, программы, эффективно подбирающие резюме под заданную вакансию, развивается превосходный предиктивный поиск, автоматически генерируются аннотации документов. Благодаря новым приемам и инструментам, таким как Keras и Tensorflow, сегодня возможно как никогда просто реализовать качественную обработку естественного языка (NLP).
«Обработка естественного языка в действии» станет вашим руководством по созданию программ, способных распознавать и интерпретировать человеческий язык. В издании рассказано, как с помощью готовых пакетов на языке Python извлекать из текста смыслы и адекватно ими распоряжаться. В книге дается расширенная трактовка традиционных методов NLP, что позволит задействовать нейронные сети, современные алгоритмы глубокого обучения и генеративные приемы при решении реальных задач, таких как выявление дат и имен, составление текстов и ответов на неожиданные вопросы.

Источник

choose your plan

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Читайте также:  Многомерный временной ряд python

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choose your plan

pro

  • share your subscription with one other person
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  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Natural Language Processing in Action ebook for free

team

  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Natural Language Processing in Action ebook for free

choose your plan

pro

  • share your subscription with one other person
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Natural Language Processing in Action ebook for free

team

  • five seats for your team
  • access to all Manning books, MEAPs, liveVideos, liveProjects, and audiobooks!
  • choose another free product every time you renew
  • choose twelve free products per year
  • exclusive 50% discount on all purchases
  • Natural Language Processing in Action ebook for free

new edition available

Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models.

From the Foreword by Dr. Arwen Griffioen, Zendesk

Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.

about the technology

Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.

about the book

Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you’ll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

Источник

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