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Inhaltsangabe
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.
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Über die Autorin bzw. den Autor
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.
Von der hinteren Coverseite
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
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagApress
- Erscheinungsdatum2018
- ISBN 10 1484240952
- ISBN 13 9781484240953
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten212
- Kontakt zum HerstellerNicht verfügbar
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