عنوان

Building chatbots with Python :

شابک

1484240960

شابک

1484240979

شابک

1484247566

شابک

9781484240960

شابک

9781484240977

شابک

9781484247563

شابک اشتباه

1484240952

شابک اشتباه

9781484240953

عنوان اصلي

Building chatbots with Python :

نام عام مواد

[Book]

ساير اطلاعات عنواني

using natural language processing and machine learning /

نام نخستين پديدآور

Sumit Raj.

محل نشرو پخش و غیره

[Berkeley, California] :

نام ناشر، پخش کننده و غيره

Apress,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource (205 pages)

متن يادداشت

Includes index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

عنوان

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

شماره استاندارد بين المللي کتاب و موسيقي

9781484240953

موضوع مستند نشده

Intelligent agents (Computer software)

موضوع مستند نشده

Natural language processing (Computer science)

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

Intelligent agents (Computer software)

موضوع مستند نشده

Natural language processing (Computer science)

موضوع مستند نشده

Python (Computer program language)

موضوع مستند نشده

COM051360

موضوع مستند نشده

UMX

موضوع مستند نشده

UMX

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Raj, Sumit

تاريخ عمليات

20200823032527.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y