Go to main content

Building an enterprise chatbot : work with protected enterprise data using open source frameworks / Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam.

Singh, Abhishek, 1976- author.; Ramasubramanian, Karthik, author.; Shivam, Shrey, author.
2019
QA76.76.I58 S56 2019eb
Available Online
Formats
Format
BibTeX
MARCXML
TextMARC
MARC
DublinCore
EndNote
NLM
RefWorks
RIS
Add to Basket
Cite
Citation

Linked e-resources

Linked Resource
Online Access
Concurrent users
Unlimited
Authorized users
Authorized users
Document Delivery Supplied
Can lend chapters, not whole ebooks

Details

Title
Building an enterprise chatbot : work with protected enterprise data using open source frameworks / Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam.
Author
Singh, Abhishek, 1976- author.
ISBN
9781484250341 (electronic book)
1484250346 (electronic book)
9781484250334
DOI
https://doi.org/10.1007/978-1-4842-5034-1
https://doi.org/10.1007/978-1-4842-5
Published
New York : Apress, [2019]
Copyright
©2019
Language
English
Description
1 online resource : illustrations
Item Number
10.1007/978-1-4842-5034-1 doi
10.1007/978-1-4842-5
Call Number
QA76.76.I58 S56 2019eb
Dewey Decimal Classification
005.75/8
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed September 24, 2019).
Added Author
Ramasubramanian, Karthik, author.
Shivam, Shrey, author.
Available in Other Form
Building an Enterprise Chatbot : Work with Protected Enterprise Data Using Open Source Frameworks
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
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.

Browse Subjects

Show more subjects...

Statistics

from
to
Export