Zhenya Antić - Python Natural
Language Processing
Cookbook

Over 50 recipes to understand, analyze, and generate text for implementing language processing tasks

Zhenya Anti

BIRMINGHAMMUMBAI

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Zhenya Anti is a Natural Language Processing (NLP) professional working at Practical Linguistics Inc. She helps businesses to improve processes and increase productivity by automating text processing. Zhenya holds a PhD in linguistics from University of California Berkeley and a BS in computer science from Massachusetts Institute of Technology.

I would like to thank those who helped this book come to life. The whole Packt team, including Ali Abidi, Gebin George, Nazia Shaikh, Aayan Hoda, Steffie Rodrigues and Pooja Yadav, has been really helpful, providing insight and tips when necessary.

I would also like to thank all the technical reviewers, including Mayank Rasu and Dylan Vivier, as well as Vera Gor, for their insightful comments about the code.

A special thanks goes to Milo Babi, who reviewed the whole book, and Andjelka Zeevi, who reviewed the deep learning sections. They provided very useful feedback.

Finally, I would like to thank my family for their constant support.

Mayank Rasu is the author of the book Hands-On Natural Language Processing with Python. He has more than 12 years of global experience as a data scientist and quantitative analyst in the investment banking domain. He has worked at the intersection of finance and technology and has developed and deployed AI-based applications in the finance domain, which include sentiment analyzer, robotics process automation, and deep learning-based document reviewers. Mayank is also an educator and has trained/mentored working professionals on applied AI.

Dylan Vivier is a data science enthusiast with experience in the automotive, oil and gas, and shipbuilding industries. With engineering degrees from both the University of Detroit and Purdue University, he has also studied at the Indiana University Luddy School of Informatics, Computing, and Engineering. In his spare time, Dylan enjoys researching new applications for data science and playing chess. Diversity and inclusion, Agile project development, Python, SQL, algorithms, data structures, Condition-based Maintenance (CBM), cybersecurity, machine learning, Natural Language Processing (NLP), Internet of Things (IoT), AI, and Blockchain are some of his other interests.