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The Handbook of NLP with Gensim
The Handbook of NLP with Gensim

The Handbook of NLP with Gensim: Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data

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Key benefits

  • Advance your NLP skills with this comprehensive guide covering detailed explanations and code practices
  • Build real-world topical modeling pipelines and fine-tune hyperparameters to deliver optimal results
  • Adhere to the real-world industrial applications of topic modeling in medical, legal, and other fields
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Navigating the terrain of NLP research and applying it practically can be a formidable task made easy with The Handbook of NLP with Gensim. This book demystifies NLP and equips you with hands-on strategies spanning healthcare, e-commerce, finance, and more to enable you to leverage Gensim in real-world scenarios. You’ll begin by exploring motives and techniques for extracting text information like bag-of-words, TF-IDF, and word embeddings. This book will then guide you on topic modeling using methods such as Latent Semantic Analysis (LSA) for dimensionality reduction and discovering latent semantic relationships in text data, Latent Dirichlet Allocation (LDA) for probabilistic topic modeling, and Ensemble LDA to enhance topic modeling stability and accuracy. Next, you’ll learn text summarization techniques with Word2Vec and Doc2Vec to build the modeling pipeline and optimize models using hyperparameters. As you get acquainted with practical applications in various industries, this book will inspire you to design innovative projects. Alongside topic modeling, you’ll also explore named entity handling and NER tools, modeling procedures, and tools for effective topic modeling applications. By the end of this book, you’ll have mastered the techniques essential to create applications with Gensim and integrate NLP into your business processes.

Who is this book for?

This book is for data scientists and professionals who want to become proficient in topic modeling with Gensim. NLP practitioners can use this book as a code reference, while students or those considering a career transition will find this a valuable resource for advancing in the field of NLP. This book contains real-world applications for biomedical, healthcare, legal, and operations, making it a helpful guide for project managers designing their own topic modeling applications.

What you will learn

  • Convert text into numerical values such as bag-of-word, TF-IDF, and word embedding
  • Use various NLP techniques with Gensim, including Word2Vec, Doc2Vec, LSA, FastText, LDA, and Ensemble LDA
  • Build topical modeling pipelines and visualize the results of topic models
  • Implement text summarization for legal, clinical, or other documents
  • Apply core NLP techniques in healthcare, finance, and e-commerce
  • Create efficient chatbots by harnessing Gensim's NLP capabilities

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Oct 27, 2023
Length: 310 pages
Edition : 1st
Language : English
ISBN-13 : 9781803245508
Category :

What do you get with eBook?

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OR
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Product Details

Publication date : Oct 27, 2023
Length: 310 pages
Edition : 1st
Language : English
ISBN-13 : 9781803245508
Category :

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Albert Nov 21, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
During my pursuit of a master's degree at Columbia University, I had the privilege of studying anomaly detection under Professor Chris Kou. This course equipped me with the knowledge of utilizing both supervised and unsupervised machine learning techniques to identify potential anomalies within massive datasets. The applications covered ranged from loan defaults and credit card fraud to prescription fraud, showcasing the diverse practical scenarios where anomaly detection plays a crucial role.Now, it brings me great joy to see my professor, Chris Kou, authoring a new book titled "Handbook of NLP with Gensim: Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data." This book is a valuable resource for those seeking a deep understanding of natural language processing and aiming to unveil hidden patterns, themes, and valuable insights in textual data using the Gensim library.Chris Kou has always been an authority in the field, and his new book undoubtedly provides readers with profound and practical guidance, helping them comprehend and apply natural language processing techniques effectively. This handbook is not just an introduction to tools and technologies; it's a guide that empowers readers to navigate the sea of information, discover endless value, and gain insights. If you are interested in learning how to extract information, interpret themes, and uncover latent insights from textual data, then "Handbook of NLP with Gensim" is an indispensable companion.
Amazon Verified review Amazon
Chris Nov 22, 2023
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I will love to discuss more about the book with readers and present more use cases. I still remember the midnight when I was writing the chapter on text representation and listening to the song "Never enough" of the Greatest Showman. I use the lyric to show to readers how accessible it is to do NLP.
Amazon Verified review Amazon
Fi Dec 31, 2023
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As a former student of Professor Chris Kou at Columbia University, I am thrilled to witness the release of his latest masterpiece, "Handbook of NLP with Gensim." Having had the privilege of studying anomaly detection under Professor Kou's guidance, I knew I was in for a treat, and this book exceeded my already high expectations.This comprehensive guide transcends the theoretical realm, providing a hands-on approach to navigating the complex landscape of Natural Language Processing (NLP). Professor Kou skillfully demystifies NLP, making it accessible to both beginners and seasoned practitioners. The book not only equips readers with a profound understanding of the Gensim library but also empowers them with practical strategies applicable across diverse industries.The real-world applications presented in the book, spanning healthcare, finance, and e-commerce, provide a bridge between theory and industry practice. Whether you're a data scientist looking to enhance your topic modeling skills or a professional considering a career transition into NLP, this handbook is an indispensable resource.
Amazon Verified review Amazon
Daniel Chen Nov 20, 2023
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Chris Kuo is a fantastic professor and data scientist. He consistently provides valuable insights and lessons to anyone interested in data science or machine learning.
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Om S Nov 27, 2023
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Dive into the world of Natural Language Processing (NLP) with 'The Handbook of NLP with Gensim,' a practical guide to unlocking the power of topic modeling. Learn essential techniques, from converting text into numerical values to advanced methods like Word2Vec and Doc2Vec. This resource provides hands-on strategies for building impactful applications. Whether you're a seasoned practitioner or new to NLP, gain practical insights and real-world skills effortlessly. Explore the depths of NLP with Gensim, making complex topics accessible. Elevate your understanding with clear explanations and code practices. Master the art of topic modeling, fine-tune hyperparameters, and excel in various industries. This guide is your key to advancing your NLP journey and becoming a leader in the field.
Amazon Verified review Amazon
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