Jyotika Singh

Natural Language Processing in the Real World (eBook, PDF)

Text Processing, Analytics, and Classification

• Format: PDF

Produktbeschreibung

'Natural Language Processing in the Real World' is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 388
• Erscheinungstermin: 3. Juli 2023
• Englisch
• ISBN-13: 9781000902266
• Artikelnr.: 68079841

Autorenporträt

Jyotika Singh is an accomplished data science expert specializing in Machine Learning and Natural Language Processing (NLP). With a burning passion for sharing knowledge, Jyotika has graced countless stages as a sought-after speaker at prestigious conferences worldwide. Her remarkable aptitude for crafting inventive solutions using NLP and real-world datasets has garnered numerous patents strategically adopted by prestigious tech enterprises. As Director of Data Science at Placemakr and having led the Data Science team at ICX Media, Jyotika's expertise shines through her invaluable contributions to multiple industry verticals generating multi-million dollar revenue using practical application of data science and NLP. Moreover, her research at University of California, Los Angeles (UCLA) has further solidified her profound expertise. Jyotika is revered as the visionary creator of multiple open-source Python libraries, most notably pyAudioProcessing. Beyond her technical accomplishments, Jyotika displays unwavering dedication to promoting diversity in STEM fields, mentoring aspiring talents, and actively engaging in global initiatives. Her exceptional contributions have garnered a multitude of prestigious awards, including her distinction as one of the top 50 Women of Impact in 2023 and her inclusion among the top 100 most influential people in Data 2022 by DataIQ. Additionally, Jyotika has been honored with the Data Science Leadership award in 2022 and the Leadership Excellence in Technology award in 2021, among other noteworthy accolades.

Inhaltsangabe

Table of Contents:
List of Figures
List of Tables
Contributors
Preface
Acknowledgements
Chapter 1: NLP Basics
Chapter 2: Data Sources and Extraction
Chapter 3: Data Preprocessing and Transformation
Chapter 4: Data Modeling
Chapter 5: NLP Applications - Active Usage
Chapter 6: NLP Applications - Developing Usage
Chapter 7: Information Extraction and Text Transforming Models
Chapter 8: Text Categorisation and Affinities
Chapter 9: Chatbots
Chapter 10: Customer Review Analysis
Chapter 11: Recommendations and Predictions
Chapter 12: More Real-World Scenarios and Tips
Bibliography
Index