Applied Text Analytics for the Enterprise : Implementing Deep Learning and Natural Language Processing with LLM
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
Series: Book 3 of 4 - The Enterprise Data Science Mastery Series
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 38.89
Quantity: 2 available
Add to basketItem description from seller
Neuware - Your organization is sitting on a massive source of intelligence buried in text. Contracts, customer feedback, reports, documents, support conversations, and other unstructured data contain valuable information. Applied Text Analytics for the Enterprise shows you how to turn that information into practical business intelligence using modern NLP, deep learning, and Large Language Models (LLMs).Designed for professionals working with enterprise data and AI, this practical guide takes you from modern text-processing fundamentals to sophisticated production applications.Inside, you'll learn how to: - Build scalable NLP and text analytics workflows for enterprise data- Apply deep learning architectures, attention mechanisms, and transformers to text- Develop named entity recognition and information extraction systems- Perform sentiment analysis and topic modeling across large text collections- Build semantic search systems using document embeddings and vector databases- Design Retrieval-Augmented Generation (RAG) systems grounded in organizational data- Understand when to prompt, fine-tune, or use parameter-efficient fine-tuning techniques- Adapt NLP and LLM solutions for specialized domains and business workflows- Integrate AI models through enterprise APIs and automated processes- Evaluate accuracy, faithfulness, feedback loops, and business impactFrom unstructured data to actionable intelligence, this book connects advanced AI techniques with the practical realities of enterprise implementation. Build smarter text analytics systems and unlock more value from the information your organization already has.…
Seller Inventory # 9798170563791
- Title
- Applied Text Analytics for the Enterprise : Implementing Deep Learning and Natural Language Processing with LLM
- Author
- Bjorn Halversen
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798170563791
- Item weight
- 367 grams
- Dimensions
- 254x178x11 mm
- Series
- Book 3 of 4: The Enterprise Data Science Mastery Series
Contracts, customer feedback, reports, documents, support conversations, and other unstructured data contain valuable information.
Applied Text Analytics for the Enterprise shows you how to turn that information into practical business intelligence using modern NLP, deep learning, and Large Language Models (LLMs).
Designed for professionals working with enterprise data and AI, this practical guide takes you from modern text-processing fundamentals to sophisticated production applications.
Inside, you'll learn how to:
- Build scalable NLP and text analytics workflows for enterprise data
- Apply deep learning architectures, attention mechanisms, and transformers to text
- Develop named entity recognition and information extraction systems
- Perform sentiment analysis and topic modeling across large text collections
- Build semantic search systems using document embeddings and vector databases
- Design Retrieval-Augmented Generation (RAG) systems grounded in organizational data
- Understand when to prompt, fine-tune, or use parameter-efficient fine-tuning techniques
- Adapt NLP and LLM solutions for specialized domains and business workflows
- Integrate AI models through enterprise APIs and automated processes
- Evaluate accuracy, faithfulness, feedback loops, and business impact
Build smarter text analytics systems and unlock more value from the information your organization already has.
"Synopsis" may belong to another edition of this title.
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