Book Image

Natural Language Processing Fundamentals

By : Sohom Ghosh, Dwight Gunning
Book Image

Natural Language Processing Fundamentals

By: Sohom Ghosh, Dwight Gunning

Overview of this book

If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language.
Table of Contents (10 chapters)

Growth of Sentiment Analysis

The field of sentiment analysis is driven by a few main factors. Firstly, it's driven by the rapid growth in online content that's used by companies to understand and respond to how people feel. Secondly, since sentiment drives human decisions, businesses that understand their customers' sentiment have a major advantage in predicting and shaping purchasing decisions. Thirdly, much of this content is available in social media and other online services, where human opinion and sentiment is a key component in business values. Finally, NLP technology has improved significantly, allowing for a much wider application of sentiment analysis.

Monetization of Emotion

The growth of the internet and internet services has enabled new business models to work with human connection, communication, and sentiment. In December 2018, Facebook had a market capitalization of approximately $400 billion and was one of the most successful companies in connecting...