Building Chatbots with Python (eBook)

Using Natural Language Processing and Machine Learning

Sumit Raj (Autor)

eBook Download: PDF

2018 | 1st ed.
XIX, 192 Seiten
Apress (Verlag)
978-1-4842-4096-0 (ISBN)

Infos

Build your own chatbot using Python and open source tools. This book begins with an introduction to chatbots where you will gain vital information on their architecture. You will then dive straight into natural language processing with the natural language toolkit (NLTK) for building a custom language processing platform for your chatbot. With this foundation, you will take a look at different natural language processing techniques so that you can choose the right one for you. 

The next stage is to learn to build a chatbot using the API.ai platform and define its intents and entities. During this example, you will learn to enable communication with your bot and also take a look at key points of its integration and deployment.

The final chapter of Building Chatbots with Python teaches you how to build, train, and deploy your very own chatbot. Using open source libraries and machine learning techniques you will learn to predict conditions for your bot and develop a conversational agent as a web application. Finally you will deploy your chatbot on your own server with AWS. 

What You Will Learn

• Gain the basics of natural language processing using Python 
  
• Collect data and train your data for the chatbot
  
• Build your chatbot from scratch as a web app
  
• Integrate your chatbots with Facebook, Slack, and Telegram
  
• Deploy chatbots on your own server
  

Who This Book Is For

Intermediate Python developers who have no idea about chatbots. Developers with basic Python programming knowledge can also take advantage of the book.

Sumit Raj, is a techie at heart, who loves coding and building applications. He is a Python expert with a keen interest in Machine Learning and Natural Language Processing. He believes in the idea of writing code which directly impacts revenue of the company.

Sumit has worked in multiple domains like Personal Finance Management, Real-Estate, E-commerce, Revenue Analytics to build multiple scalable applications. He has helped various early age startups with their initial design & architecture of the product which got funded later by investors and governments. He comes with a good experience of cutting-edge technologies used in high-volume internet/enterprise applications for scalability, performance tuning & optimization and cost-reduction.

He has been mentoring students/developers on Python programming all across the globe. He has mentored over 1000 students and professionals using various online and offline platforms & channels on Programming Languages, Data Science & for career counselling. Sumit likes to be a part of technical meetups, conferences and workshops. He never likes to miss a chance to attend hackathons. His love for building applications and problem solving has won him multiple awards and accolades. He is regularly invited speak at premier educational institutes of India. He is also a speaker at PyLadies meetup group, ladies who code in Python which is led by one of the former director of PSF(Python Software Foundation).

In his free time, he likes to write on his blog and answer questions on Computer Programming, Chatbots, Python/Django, Career Advice & Web Development on Quora having over 1 million views together. Feel free for A2A on his Quora profile.

Currently, he is working as Senior Solutions Architect at GeoSpark R&D, Bangalore, India building a developer platform for location tracking. You can get to know more about him from his website.

Inhalt

Chapter 1: Introducing Chatbots Chapter Goal: Make the user get familiar with Chatbots.Sub -Topics1. Do’s and Don'ts in Chatbots2. What are the limitations of chatbots and how we should solve them?3. What are different kind of chatbots ? Where do they fit in ?Chapter 2: Natural Language ProcessingChapter Goal: Be able to do custom natural language processing platform for your chatbotsSub - Topics 1. Installation of NLTK and methods in natural language processing.2. POS Tagging, Stemming, Lemmetization, 3. Logical SemanticsChapter 3: Chatbot DevelopmentChapter Goal: Building a chatbot and defining its data constraintsSub - Topics:  1. Using api.ai platform to create a chatbot2. Feeding data and defining Intents and entitiesChapter 4: Chatbot CommunicationChapter Goal: Enabling communication with the bot to make the bot respond to your queries.Sub - Topics:  1.   Making our chatbot respond to our queries2.   Integration and DeploymentChapter 5: Build-Train-DeployChapter Goal: To build, train and deploy a chatbot of your own Sub - Topics: 1.  Getting acclimatize to use open source libraries to train your data2.  Defining Intents and entities on your data3.  Using ML algorithms to predict the intent and take action based on that4.  Using your code in a web app to make a conversational agent.5.  Deploy your app on your own server with AWS

Produkt-Details

• Erscheint lt. Verlag: 12.12.2018
• Zusatzinfo: XIX, 192 p. 75 illus.
• Verlagsort: Berkeley
• Sprache: englisch
• Themenwelt: Informatik ► Programmiersprachen / -werkzeuge ► Python
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: API • AWS • Chatbot • Deployment • Integration • machinelearning • NLP • Python
• ISBN-10: 1-4842-4096-0 / 1484240960
• ISBN-13: 978-1-4842-4096-0 / 9781484240960