The Handbook of NLP with Gensim: Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data
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Elevate your natural language processing skills with Gensim and become proficient in handling a wide range of NLP tasks and projects
Key FeaturesAdvance your NLP skills with this comprehensive guide covering detailed explanations and code practicesBuild real-world topical modeling pipelines and fine-tune hyperparameters to deliver optimal resultsAdhere to the real-world industrial applications of topic modeling in medical, legal, and other fieldsPurchase of the print or Kindle book includes a free PDF eBookBook 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.
What you will learnConvert text into numerical values such as bag-of-word, TF-IDF, and word embeddingUse various NLP techniques with Gensim, including Word2Vec, Doc2Vec, LSA, FastText, LDA, and Ensemble LDABuild topical modeling pipelines and visualize the results of topic modelsImplement text summarization for legal, clinical, or other documentsApply core NLP techniques in healthcare, finance, and e-commerceCreate efficient chatbots by harnessing Gensim’s NLP capabilitiesWho This Book Is 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.
Table of ContentsIntroduction to NLPWord EmbeddingText Wrangling and Preprocessing Latent Semantic Analysis with scikit-learn Cosine Similarity Latent Semantic Indexing with Gensim Using Word2VecDoc2Vec with GensimUnderstanding Discrete DistributionsLatent Dirichlet Allocation LDA Modeling LDA VisualizationThe Ensemble LDA for Model StabilityLDA and BERTopicReal-World Use Cases
Publisher : Packt Publishing – ebooks Account (November 9, 2023)
Language : English
Paperback : 310 pages
ISBN-10 : 1803244941
ISBN-13 : 978-1803244945
Item Weight : 1.21 pounds
Dimensions : 9.25 x 7.52 x 0.65 inches
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Fi –
A Definitive Guide to Mastering NLP: “Handbook of NLP with Gensim” by Professor Chris Kou
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.
Albert –
An excellent book for NLP newbies
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.
Om S –
Gensim NLP Handbook
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.
H2N –
Good book with Gensim
A great guide on NLP for both beginners and seasoned professionals, especially in the era of ChatGPT and GPT-4. It offers a good exploration of NLP, from traditional methods to modernLLMs, highlighting key developments like Word2Vec and LSA. The book presents theoretical knowledge with practical applications with NLP concepts and model building using Python libraries like Gensim and spaCy, with a focus on Transformer-based BERTopic modeling. Emphasizing practical implementation for model deployment, it concludes with diverse NLP use cases, making it a comprehensive resource for anyone interested in mastering NLP.
Chris –
A guide to the NLP world
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.
Daniel Chen –
Great author, professor, and data scientist!
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.