Book description
In the next sections, you'll design and implement the backend framework of a typical chatbot from scratch. You will also explore some popular open-source chatbot frameworks such as Dialogflow and LUIS. The authors then explain how you can integrate various third-party services and enterprise databases with the custom chatbot framework. In the final section, you'll discuss how to deploy the custom chatbot framework on the AWS cloud.
- Identify business processes where chatbots could be used
- Focus on building a chatbot for one industry and one use-case rather than building a ubiquitous and generic chatbot
- 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
Table of contents
- Cover
- Front Matter
- 1. Processes in the Banking and Insurance Industries
- 2. Identifying the Sources of Data
- 3. Chatbot Development Essentials
- 4. Building a Chatbot Solution
- 5. Natural Language Processing, Understanding, and Generation
- 6. A Novel In-House Implementation of a Chatbot Framework
- 7. Introduction to Microsoft Bot, RASA, and Google Dialogflow
- 8. Chatbot Integration Mechanism
- 9. Deployment and a Continuous Improvement Framework
- Back Matter
Product information
- Title: Building an Enterprise Chatbot: Work with Protected Enterprise Data Using Open Source Frameworks
- Author(s):
- Release date: September 2019
- Publisher(s): Apress
- ISBN: 9781484250341
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