Practical Natural Language Processing

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems 1st Edition

Description:
Practical Natural Language Processing is a hands-on guide designed for software engineers and data scientists aiming to build scalable and effective NLP systems tailored for real-world business applications. Written by Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana, this book navigates through the complexities of natural language processing across various industries such as healthcare, social media, and retail.

In contrast to traditional courses and books, which often present simplified NLP problems, this guide delves into practical solutions that fit real-world business needs. From building initial NLP prototypes to deploying robust, scalable systems, readers will gain an understanding of the wide spectrum of NLP tasks, techniques, and best practices in development and deployment.

The book teaches readers how to implement machine learning and deep learning methods for NLP applications while tailoring the solutions based on business-specific problems. You’ll also learn how to evaluate NLP solutions, understand different approaches, and navigate the complexities of release, deployment, and DevOps.

Key Features:

• Real-World Applications: Learn how to build and scale NLP systems for various industries.
• Machine Learning and Deep Learning: Implement and evaluate different NLP applications using modern AI techniques.
• Tailored Solutions: Adapt your NLP models based on specific industry verticals like healthcare, retail, and social media.
• Best Practices: Learn the key practices for deploying NLP solutions, including DevOps, scalability, and business integration.

What Is a Representational System in NLP?

In Natural Language Processing (NLP), a representational system refers to how information is encoded and stored within the model or framework being used to process language. For instance, NLP models might use vector representations of words or sentences to process and understand text. By using mathematical representations like word embeddings or transformers, NLP systems can interpret and generate language in a meaningful way for tasks like text classification, translation, or sentiment analysis.

In addition to technical aspects, representational systems can also refer to NLP frameworks that capture how humans process sensory information, such as visual, auditory, or kinesthetic modes. These frameworks help in understanding how individuals might represent information differently based on their preferred sensory channels.

Instant eBook Delivery – Study Anywhere, Anytime
Get immediate access to Practical Natural Language Processing: A Comprehensive Guide to Building Real-World NLP Systems in PDF format. After payment, an email with the download link will be sent to you, enabling you to study from any device, anywhere.

Product Details:

• Publisher: O’Reilly Media
• Published: June 17, 2020
• ISBN: 9781492054054
• Language: English
• Print Length: 549 pages
• Format: PDF