Akshay Kulkarni - Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
Here you can read online Akshay Kulkarni - Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2021, publisher: Apress, genre: Children. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:
Romance novel
Science fiction
Adventure
Detective
Science
History
Home and family
Prose
Art
Politics
Computer
Non-fiction
Religion
Business
Children
Humor
Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.
- Book:Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques
- Author:
- Publisher:Apress
- Genre:
- Year:2021
- Rating:5 / 5
- Favourites:Add to favourites
- Your mark:
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques: summary, description and annotation
We offer to read an annotation, description, summary or preface (depends on what the author of the book "Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.
Leverage machine learning and deep learning techniques to build fully-fledged natural language processing (NLP) projects. Projects throughout this book grow in complexity and showcase methodologies, optimizing tips, and tricks to solve various business problems. You will use modern Python libraries and algorithms to build end-to-end NLP projects.
The book starts with an overview of natural language processing (NLP) and artificial intelligence to provide a quick refresher on algorithms. Next, it covers end-to-end NLP projects beginning with traditional algorithms and projects such as customer review sentiment and emotion detection, topic modeling, and document clustering. From there, it delves into e-commerce related projects such as product categorization using the description of the product, a search engine to retrieve the relevant content, and a content-based recommendation system to enhance user experience. Moving forward, it explains how to build systems to find similar sentences using contextual embedding, summarizing huge documents using recurrent neural networks (RNN), automatic word suggestion using long short-term memory networks (LSTM), and how to build a chatbot using transfer learning. It concludes with an exploration of next-generation AI and algorithms in the research space.By the end of this book, you will have the knowledge needed to solve various business problems using NLP techniques.What You Will Learn
- Implement full-fledged intelligent NLP applications with Python
- Translate real-world business problem on text data with NLP techniques
- Leverage machine learning and deep learning techniques to perform smart language processing
- Gain hands-on experience implementing end-to-end search engine information retrieval, text summarization, chatbots, text generation, document clustering and product classification, and more
Who This Book Is For
Data scientists, machine learning engineers, and deep learning professionals looking to build natural language applications using Python
Akshay Kulkarni: author's other books
Who wrote Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques? Find out the surname, the name of the author of the book and a list of all author's works by series.
![Bhargav Srinivasa-Desikan [Bhargav Srinivasa-Desikan] - Natural Language Processing and Computational Linguistics: A Practical Guide to Text Analysis With Python, Gensim, spaCy, and Keras](/uploads/posts/book/119021/thumbs/bhargav-srinivasa-desikan-bhargav.jpg)
Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques — read online for free the complete book (whole text) full work
Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.
Font size:
Interval:
Bookmark:
This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.
The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.
To our families
Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/9781484273852. For more detailed information, please visit http://www.apress.com/source-code.
We are grateful to our families for their motivation and constant support.
We want to express our gratitude to out mentors and friends for their input, inspiration, and support. A big thanks to the Apress team for their constant support and help.
Finally, we would like to thank you, the reader, for showing an interest in this book and making your natural language processing journey more exciting.
Note that the views and opinions expressed in this book are those of the authors.
Akshay is also a Google Developers Expert in machine learning, a published author of books on NLP and deep learning, and a regular speaker at major AI and data science conferences.
In 2019, Akshay was named one of the top 40 under 40 data scientists in India.
In his spare time, he enjoys reading, writing, coding, and mentoring aspiring data scientists. He lives in Bangalore, India, with his family.
His core expertise involves machine learning, deep learning, recommendation systems, and statistics. Adarsha has worked on various data science projects across multiple domains using different technologies and methodologies. Previously, he worked for Tredence Analytics and IQVIA.
He lives in Bangalore, India, and loves to read, ride, and teach data science.
In recent years, we have heard a lot about artificial intelligence, machine learning, deep learning, and natural language processing. What are they? Are they all the same? How do we differentiate between them?
In 1956, an American computer scientist named John McCarthy coined the term artificial intelligence, a subfield of computer science. Artificial intelligence (AI) is a machines ability to think and learn. The concept of AI is to make machines capable of thinking and learning like the human brain.
Font size:
Interval:
Bookmark:
Similar books «Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques»
Look at similar books to Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.
Discussion, reviews of the book Natural Language Processing Projects: Build Next-Generation NLP Applications Using AI Techniques and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.