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

© Akshay Kulkarni and Adarsha Shivananda 2019

Akshay Kulkarni and Adarsha ShivanandaNatural Language Processing Recipeshttps://doi.org/10.1007/978-1-4842-4267-4_1

1. Extracting the Data

Akshay Kulkarni¹  and Adarsha Shivananda¹

(1)

Bangalore, Karnataka, India

 

In this chapter, we are going to cover various sources of text data and ways to extract it, which can act as information or insights for businesses.

• Recipe 1. Text data collection using APIs

• Recipe 2. Reading PDF file in Python

• Recipe 3. Reading word document

• Recipe 4. Reading JSON object

• Recipe 5. Reading HTML page and HTML parsing

• Recipe 6. Regular expressions

• Recipe 7. String handling

• Recipe 8. Web scraping

Introduction

Before getting into details of the book, let’s see the different possible data sources ...