Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale

Author:   Mathangi Sri
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484262450


Pages:   253
Publication Date:   01 December 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale


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Author:   Mathangi Sri
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.522kg
ISBN:  

9781484262450


ISBN 10:   148426245
Pages:   253
Publication Date:   01 December 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1: Text Data in Real Word.- Chapter 2: NLP in Customer Service.- Chapter 3: NLP in Online Reviews.- Chapter 4: NLP in BFSI.- Chapter 5: NLP in Virtual Assistants.

Reviews

Each of the book's four chapters describes multiple approaches to the area of analysis, from simple or classic methods to more complex ML-based solutions. ... Sri's contribution fills that instructional gap with relevant and usable Python code examples. (Harry J. Foxwell, Computing Reviews, November 9, 2021)


Author Information

Mathangi is a renowned data science leader in India. She has 11 patent grants and 20+ patents published in the area of intuitive customer experience, indoor positioning, and user profiles. She has 16+ years of proven track record in building world-class data science solutions and products. She is adept in machine learning, text mining, NLP technologies, and NLP tools. She has built data science teams across large organizations including Citibank, HSBC, and GE, and tech startups such as 247.ai, PhonePe, and Gojek. She advises start-ups, enterprises, and venture capitalists on data science strategy and roadmaps. She  is an active contributor on machine learning to many premier institutes in India. She is recognized as one of “The Phenomenal SHE” by the Indian National Bar Association in 2019.

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