Book Image

The Handbook of NLP with Gensim

By : Chris Kuo
Book Image

The Handbook of NLP with Gensim

By: Chris Kuo

Overview of this book

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.
Table of Contents (24 chapters)
1
Part 1: NLP Basics
5
Part 2: Latent Semantic Analysis/Latent Semantic Indexing
9
Part 3: Word2Vec and Doc2Vec
12
Part 4: Topic Modeling with Latent Dirichlet Allocation
18
Part 5: Comparison and Applications

Real-World Use Cases

Innovation comes by referencing best practices and applications. While you have learned many NLP techniques throughout this book, it is important to brainstorm to find new applications for your services. How do you find ideas for new applications? In my lectures, I always emphasize the importance of literature review. A good literature review can deepen your technical knowledge for its strength and weakness. It reduces the learning curve when you cross into another industry and learn about a new domain. It simply helps you to gain the confidence to go into an uncharted area while you plan to apply new techniques.

There is a wide range of NLP applications in healthcare, clinical texts, legal documents, finance, and social media. Maybe you are looking for ideas to test your NLP skills or see other Gensim use cases for inspiration. This chapter presents a range of large-scale NLP projects in different industries. You will be inspired by their research questions...