book

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

Name: Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
ISBN: 9781484242674

by Akshay Kulkarni, Adarsha Shivananda

January 2019

Beginner to intermediate

253 pages

3h 37m

English

Apress

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

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 ...

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