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020 _a9781484240960
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020 _z1484240952
020 _z9781484240953
024 7 _a10.1007/978-1-4842-4096-0
_2doi
035 _a(OCoLC)1080085479
035 _a(OCoLC)1080085479
_z(OCoLC)1079912185
_z(OCoLC)1086460176
_z(OCoLC)1089901719
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082 0 4 _a005.13/3
_223
100 1 _aRaj, Sumit,
_eauthor
245 1 0 _aBuilding chatbots with Python :
_busing natural language processing and machine learning /
_cSumit Raj
264 1 _a[Berkeley, California] :
_bApress,
_c[2019]
300 _a1 online resource (205 pages)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aIncludes index
505 0 _aChapter 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
506 _aAvailable to OhioLINK libraries
520 _aBuild 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
650 0 _aIntelligent agents (Computer software)
_0http://id.loc.gov/authorities/subjects/sh97000493
650 0 _aNatural language processing (Computer science)
_0http://id.loc.gov/authorities/subjects/sh88002425
650 0 _aPython (Computer program language)
_0http://id.loc.gov/authorities/subjects/sh96008834
655 4 _aElectronic books
710 2 _aOhio Library and Information Network.
_0http://id.loc.gov/authorities/names/no95058981
776 0 8 _iPrint version:
_aRaj, Sumit
_tBuilding Chatbots with Python : Using Natural Language Processing and Machine Learning
_dBerkeley, CA : Apress L. P.,c2018
_z9781484240953
_w(OCoLC)1049909481
856 _uhttps://drive.google.com/file/d/1VxJGI4peD3aeE-0taVqMqH0tNVbmPlhp/view?usp=sharing
999 _c12870
_d12870