Authors
Deepti Chopra is an Assistant Professor at Banasthali University. Her primary
area of research is computational linguistics, Natural Language Processing, and artificial
intelligence. She is also involved in the development of MT engines for English to Indian
languages. She has several publications in various journals and conferences and also serves on
the program committees of several conferences and journals.Perkins Jacob :
Jacob Perkins is the cofounder and CTO of Weotta, a local search company.
Weotta uses NLP and machine learning to create powerful and easy-to-use natural language search
for what to do and where to go. He is the author of Python Text Processing with NLTK 2.0
Cookbook, Packt Publishing, and has contributed a chapter to the Bad Data Handbook, O'Reilly
Media. He writes about NLTK, Python, and other technology topics at http://streamhacker.com. To
demonstrate the capabilities of NLTK and natural language processing, he developed
http://text-processing.com, which provides simple demos and NLP APIs for commercial use. He has
contributed to various open source projects, including NLTK, and created NLTK-Trainer to
simplify the process of training NLTK models. For more information, visit
https://github.com/japerk/nltk-trainer.Mathur Iti :
Iti Mathur is an Assistant Professor at Banasthali University. Her areas of
interest are computational semantics and ontological engineering. Besides this, she is also
involved in the development of MT engines for English to Indian languages. She is one of the
experts empaneled with TDIL program, Department of Electronics and Information Technology
(DeitY), Govt. of India, a premier organization that oversees Language Technology Funding and
Research in India. She has several publications in various journals and conferences and also
serves on the program committees and editorial boards of several conferences and
journals.Joshi Nisheeth :
Nisheeth Joshi is an associate professor and a researcher at Banasthali
University. He has also done a PhD in Natural Language Processing. He is an expert with the TDIL
Program, Department of IT, Government of India, the premier organization overseeing language
technology funding and research in India. He has several publications to his name in various
journals and conferences, and also serves on the program committees and editorial boards of
several conferences and journals.Hardeniya Nitin :
Nitin Hardeniya is a data scientist with more than 4 years of experience working with companies such as Fidelity, Groupon, and [24]7-inc. He has worked on a variety of business problems across different domains. He holds a master's degree in computational linguistics from IIIT-H. He is the author of 5 patents in the field of customer experience. He is passionate about language processing and large unstructured data. He has been using Python for almost 5 years in his day-to-day work. He believes that Python could be a single-point solution to most of the problems related to data science. He has put on his hacker's hat to write this book and has tried to give you an introduction to all the sophisticated tools related to NLP and machine learning in a very simplified form. In this book, he has also provided a workaround using some of the amazing capabilities of Python libraries, such as NLTK, scikit-learn, pandas, and NumPy.
