Natural Language Processing in the Real World

Regular price €65.99
Quantity:
In stock with our UK publisher. 14-28 days
Delivery/Collection within 10-20 working days
14 days return policy Shipping & Delivery
A01=Jyotika Singh
advanced text analytics for enterprises
Author_Jyotika Singh
Category=CFX
Category=DS
Category=UX
Category=UYQL
chatbot development strategies
computational linguistics
Cosine Distance
CSV File
CSV.
Data Augmentation
Data Augmentation Techniques
data extraction
data science
deep learning
Enterprise Setting
eq_bestseller
eq_biography-true-stories
eq_computing
eq_dictionaries-language-reference
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Fine Tuning Models
Hyperparameter Tuning
industry vertical applications
information retrieval models
Keyphrase Extraction
LDA
machine learning
Machine Translation
Natural Language Processing
NER
NLP
NLP Application
NLP Task
NLP Technique
Open Source
Open Source Models
Open Source Software Library
Pip Install
Pre-trained Model
Remove Stop Words
Sentiment Analysis
text mining methods
transformer architectures
Twitter API
Word Embeddings

Product details

  • ISBN 9781032207032
  • Weight: 720g
  • Dimensions: 178 x 254mm
  • Publication Date: 05 May 2025
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
Secure checkout Fast Shipping Easy returns

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. Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset.

This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals. From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented.

This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.

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.

More from this author