Practical Natural Language Processing
If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide.
Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional mach...
If you want to build, iterate and scale NLP systems in a business setting and to tailor them for various industry verticals, this is your guide.
Consider the task of building a chatbot or text classification system at your organization. In the beginning, there may be little or no data to work with. At this point, a basic solution that uses rule based systems or traditional machine learning will be apt. As you accumulate more data, more sophisticated—and often data intensive—ML techniques can be used including deep learning. At each step of this journey, there are dozens of alternative approaches you can take. This book helps you navigate this maze of options.
Sowmya Vajjala has been a NLP practitioner and researcher since 2006. She is a PhD in Computational Linguistics from University of Tubingen. She has worked at Microsoft Research and was an Assistant Professor at Iowa State University in the past. She is currently a Senior Data Scientist Scientist at Globe & Mail.
Bodhisattwa Majumder is a PhD student in NLP and ML at UC San Die...
Sowmya Vajjala has been a NLP practitioner and researcher since 2006. She is a PhD in Computational Linguistics from University of Tubingen. She has worked at Microsoft Research and was an Assistant Professor at Iowa State University in the past. She is currently a Senior Data Scientist Scientist at Globe & Mail.
Bodhisattwa Majumder is a PhD student in NLP and ML at UC San Diego. Earlier he studied at IIT Kharagpur where he graduated with Distinction (summa cum laude). He has previously built large scale NLP systems at Walmart Labs and will be joining Google AI Research in the summer of 2019 to work on multilingual NLP for Google Assistant.
Anuj Gupta has built NLP and ML systems and teams at Fortune 100 companies as well as early stage startups. He is an invited speaker and panelist at various industry conference on Machine Learning. He is a graduate of IIT Delhi and IIIT Hyderabad. He is currently a Staff Scientist at Intuit.
Harshit Surana has built and scaled NLP systems at several Silicon Valley startups as a founder and an advisor. He studied computer science at Carnegie Mellon University where he worked with the MIT Media Lab on common sense AI. His publications in NLP have received over 200 citations. He is currently a co-founder at DeepFlux.