Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2021

A. Kulkarni, A. ShivanandaNatural Language Processing Recipeshttps://doi.org/10.1007/978-1-4842-7351-7_1

1. Extracting the Data

Akshay Kulkarni¹   and Adarsha Shivananda¹

(1)

Bangalore, Karnataka, India

 

This chapter covers various sources of text data and the ways to extract it. Textual data can act as information or insights for businesses. The following recipes are covered.

• Recipe 1. Text data collection using APIs

• Recipe 2. Reading a PDF file in Python

• Recipe 3. Reading a Word document

• Recipe 4. Reading a JSON object

• Recipe 5. Reading an HTML page and HTML parsing

• Recipe 6. Regular expressions

• Recipe 7. String handling

• Recipe 8. Web scraping

Introduction

Before ...