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.
publication date
2023-10-27
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
key features
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
approach
This book presents NLP techniques and code examples with Gensim to build your models. A good way to learn is to understand the motives of a particular technique, and then practice with code examples. Thus, this book explains the motives, describes a technique and then shows the code examples. The author also believes surveying professional applications will broaden the breadth and inspire innovative work. Thus, this book brings real-world NLP applications in various industries to readers.
audience
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.
short description
Computers cannot understand texts or organize documents. Texts must first be converted into numeric values before they can be used to unlock the hidden connection between documents into topics. This easy-to-follow book simplifies these processes for you, unveiling the power of Gensim to perform complex topic modeling, and showcases professional use cases in medical, legal, and other business operations.
subtitle
Leverage topic modeling to uncover hidden patterns, themes, and valuable insights within textual data
keywords
NLP book, Machine Learning, Artificial Intelligence, Data Science, LLM, LLM large language models
Product ISBN
9781803244945
