Building an enterprise chatbot : work with protected enterprise data using open source frameworks /: work with protected enterprise data using open source frameworks. ([2019])

• Record Type: Book
• Further Information: Note: Abhishek Singh, Karthik Ramasubramanian, Shrey Shivam.
• Authors: Singh, Abhishek, 1976-; Ramasubramanian, Karthik; Shivam, Shrey
• Contents: Chapter 1: Processes in the Banking and Insurance Industry The chapter will focus on explaining some core process within the banking and insurance industry that is suitable for a chatbot application. No of pages: 30 Chapter 2: Identifying the Sources of Data This chapter will discuss sources of data for conversation and action-based event triggers for a chatbot. Conversation courses would be from customer service centers, online chats, emails and other NLP sources, while action sources are customer account details and more personalize data. No of pages: 30 Chapter 3: Mining Intents from the Data Sources This chapter will discuss how to build a business-specific intent engine for chatbots. No of pages: 30 Chapter 4: Building a Business Use-Case This chapter will focus on how to identify the right business process to introduce chatbots. It will also discuss how to look at some of the metrics of success and RoI given a chatbot is deployed. No of pages: 30 Chapter 5: Natural Language Processing (NLP) Chapter Goal: This chapter focusses on processing and understanding natural language through the computer algorithm. It also introduces how to prepare data for applying the NLP algorithms. We will use Stanford CoreNLP, NLTK, gensim, OpenIE tools to explore and model. No of pages: 80 Sub - topics Introduction: Question & answering, information extraction, sentiment analysis, Machine translation, Text processing: Regex, tokenization, normalization – lower case, lemmatization, stemming (Porters Algorithm), sentence segmentation Converting text to features: Syntactical parsing – dependency grammar, PoS, entity parsing – phrase detection, topic modeling, statistical features – TF-IDF, word embeddings Classification – spam filter using naïve Bayes, sentiment analysis using SVM on Lexicon and text feature. NLP Tools – nltk, genism, openIE, CoreNLP Chapter 6: Building Chatbots Using Popular Platforms For general purpose chatbots, publicly available cloud services can be used to deploy chatbots faster and without any DevOps overhead. We shall discuss some of the major chatbot development platforms available in the market. No of pages: 50 Sub-Topics Microsoft Bot framework with LUIS Google's DialogFlow Amazon Lex with Lambda Bottr, Chatfuel and others Open framework RASA and Botpress Chapter 7: Deployment and Continuous Improvement Framework In this chapter we shall discuss and implement a custom built chatbot . We will discuss designing and implementing state machines and their different state transitions, and how they are critical to maintain the context of user utterance as well as in defining the chat flow using sessions that contains long term and short-term attributes. No of pages: 50 Sub-topics: Public endpoint creation Intent engine development and deployment as API Building state machine Integration with Facebook messenger Deployment of chatbot on AWS Logging Mining conversation log to improve intent engine Recommending similar/next questions, pushing information based on needs prediction.
• Publisher Details: New York : Apress
• Publication Date: 2019
• Copyright Date: 2019
• Extent: 1 online resource, illustrations
• Subjects: 005.75/8; Search engines -- Programming; Intelligent agents (Computer software); Generators (Computer programs); Open source software; Electronic books
• Languages: English
• ISBNs: 9781484250341; 1484250346
• Related ISBNs: 9781484250334
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed September 24, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.