Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP.
You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well.
Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques.
There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release.
<b>What You'll Learn</b>
• Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP
<b>Who This Book Is For</b>
IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
All organisations need to respond to the challenges within today's highly competitive global economy. Business analysts are at the forefront of these responses, enabling the development of practical, creative and financially sound solutions that address business problems and grasp new opportunities. Meer
Delve into the key concepts of Hadoop and get a thorough understanding of the Hadoop ecosystem
About This Book
-Get to grips with different Hadoop ecosystem tools that can help you achieve scalability, performance, maintainability, and efficiency in your projects
-Understand the different paradigms of Hadoop and get the most out of it to engage the power of your data
-This is a fast-paced reference guide covering the key components and functionalities of Hadoop
Who This Book Is ForIf you are a system or application developer interested in learning how to solve practical problems using the Hadoop framework, then this book is ideal for you. Meer
This fully updated study guide covers every topic on the current version of the CompTIA Security+ exam
Get complete coverage of all objectives included on the CompTIA Security+ exam SY0-601 from this comprehensive resource. Meer
In a world of accelerating unending change, perpetual surveillance, and increasing connectivity, conflict has become ever more complex. Wars are no longer limited to the traditional military conflict domains—land, sea, air; even space and cyber space. Meer