Library Hours
Monday to Friday: 9 a.m. to 9 p.m.
Saturday: 9 a.m. to 5 p.m.
Sunday: 1 p.m. to 9 p.m.
Naper Blvd. 1 p.m. to 5 p.m.
     
Limit search to available items
Results Page:  Previous Next
Author Singh, Abhishek, 1976- author.

Title Building an enterprise chatbot : work with protected enterprise data using open source frameworks / Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam. [O'Reilly electronic resource]

Publication Info. New York : Apress, [2019]
©2019
QR Code
Description 1 online resource : illustrations
text file
PDF
Contents Chapter 1: Processes in the Banking and Insurance Industry -- Chapter 2: Identifying the Sources of Data -- Chapter 3: Mining Intents from the Data Sources -- Chapter 4: Building a Business Use-Case -- Chapter 5: Natural Language Processing (NLP) -- Chapter 6: Building Chatbots Using Popular Platforms -- Chapter 7: Chatbot Platforms -- Chapter 8: Chatbot Integration Mechanism -- Chapter 9: Deployment and Continuous Improvement Framework.
Summary Explore the adoption of chatbots in business by focusing on the design, deployment, and continuous improvement of chatbots in a business, with a single use-case from the banking and insurance sector. This book starts by identifying the business processes in the banking and insurance industry. This involves data collection from sources such as conversations from customer service centers, online chats, emails, and other NLP sources. Youll then design the solution architecture of the chatbot. Once the architecture is framed, the author goes on to explain natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) with examples. In the next section, youll discuss the importance of data transfers using natural language platforms, such as Dialogflow and LUIS, and see why this is a key process for chatbot development. In the final section, youll work with the RASA and Botpress frameworks. By the end of Building an Enterprise Chatbot with Python, you will be able to design and develop an enterprise-ready conversational chatbot using an open source development platform to serve the end user. You will: Identify business processes Design the solution architecture for a chatbot Integrate chatbots with internal data sources using APIs Discover the differences between natural language understanding (NLU), natural language processing (NLP), and natural language generation (NLG) Work with deployment and continuous improvement through representational learning.
Bibliography Includes bibliographical references and index.
Subject Search engines -- Programming.
Intelligent agents (Computer software)
Generators (Computer programs)
Open source software.
Moteurs de recherche -- Programmation.
Agents intelligents (Logiciels)
Générateurs (Logiciels)
Logiciels libres.
Generators (Computer programs)
Intelligent agents (Computer software)
Open source software
Search engines -- Programming
Added Author Ramasubramanian, Karthik, author.
Shivam, Shrey, author.
Other Form: Print version: Singh, Abhishek. Building an Enterprise Chatbot : Work with Protected Enterprise Data Using Open Source Frameworks. Berkeley, CA : Apress L.P., ©2019 9781484250334
ISBN 9781484250341 (electronic bk.)
1484250346 (electronic bk.)
1484250338
9781484250334
9781484250358 (print)
1484250354
Standard No. 10.1007/978-1-4842-5034-1 doi
10.1007/978-1-4842-5
Patron reviews: add a review
Click for more information
EBOOK
No one has rated this material

You can...
Also...
- Find similar reads
- Add a review
- Sign-up for Newsletter
- Suggest a purchase
- Can't find what you want?
More Information