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)

Summarizing Text Using Gensim

The Gensim NLP library actually contains a text summarizer. So, instead of writing your own text summarizer, you could actually use this already-available one in your project. As a bonus, Gensim is an excellent NLP library with many other features.

The text summarizer in Gensim is located in the gensim.summarization package. The main method, which is summarize, provides a number of options for returning the number of words, a percentage of the text, and more. The underlying implementation is the TextRank algorithm, which you are already familiar with. To get a better understanding of this concept, we will go through an activity in the next section.

Activity 11: Summarizing a Downloaded Page Using the Gensim Text Summarizer

Click is a Python project for creating beautiful command-line interfaces. In this activity, we will create a summary of the Why Click page. For this, we will make use of the Gensim Summarizer package. Follow these steps to implement...