عنوان

Building chatbots with Python :

(Number (ISBN

1484240960

(Number (ISBN

1484240979

(Number (ISBN

1484247566

(Number (ISBN

9781484240960

(Number (ISBN

9781484240977

(Number (ISBN

9781484247563

Erroneous ISBN

1484240952

Erroneous ISBN

9781484240953

Title Proper

Building chatbots with Python :

General Material Designation

[Book]

Other Title Information

using natural language processing and machine learning /

First Statement of Responsibility

Sumit Raj.

Place of Publication, Distribution, etc.

[Berkeley, California] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (205 pages)

Text of Note

Includes index.

Text of Note

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 Processing Chapter 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 entities Chapter 4: Chatbot Communication Chapter 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 Deployment Chapter 5: Build-Train-Deploy Chapter 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.

0

Text of Note

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. You will: 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.

Title

Building Chatbots with Python : Using Natural Language Processing and Machine Learning.

International Standard Book Number

9781484240953

Intelligent agents (Computer software)

Natural language processing (Computer science)

Python (Computer program language)

Intelligent agents (Computer software)

Natural language processing (Computer science)

Python (Computer program language)

COM051360

UMX

UMX

Number

Edition

Class number

Raj, Sumit

Date of Transaction

20200823032527.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y