Book Image

Python Social Media Analytics

By : Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk
Book Image

Python Social Media Analytics

By: Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk

Overview of this book

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Table of Contents (17 chapters)
Title Page
Credits
About the Authors
Acknowledgments
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Noun phrases


Finally, we generate wordclouds for the most frequent noun phrases found in posts and consumer comments on the whole dataset. A noun phrase is defined as a phrase that has a noun (or indefinite pronoun) as its head word. It is useful to see what comments talk about.

The following screenshot shows the most frequent noun phrases in brand posts:

The following screenshot shows the most frequent noun phrases in comments:

User comments

Frequency

Brand posts

Frequency

the_history

11017

the_google

87

the_world

4117

the_world

61

happy_birthday

4090

this_year

21

this_movie

2578

the_web

17

dear_google

2069

ok_google

14

this_film

1307

the_internet

13

a_great_lover

1291

a_look

13

the_google

1288

this_holiday

12

a_movie

1284

the_year

12

the_film

1283

a_day

11

Brand posts

The previous wordcloud with the noun phrases shows that Google has posted content for its users such as "this holiday", "the world", and "the web". Let's look at some of the verbatim:

this holiday:

  • Nowruz Mobarak! Originating in ancient Persia this holiday marks the first...