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Python Social Media Analytics

You're reading from   Python Social Media Analytics Analyze and visualize data from Twitter, YouTube, GitHub, and more

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787121485
Length 312 pages
Edition 1st Edition
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Authors (3):
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Baihaqi Siregar Baihaqi Siregar
Author Profile Icon Baihaqi Siregar
Baihaqi Siregar
Siddhartha Chatterjee Siddhartha Chatterjee
Author Profile Icon Siddhartha Chatterjee
Siddhartha Chatterjee
Michal Krystyanczuk Michal Krystyanczuk
Author Profile Icon Michal Krystyanczuk
Michal Krystyanczuk
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to the Latest Social Media Landscape and Importance FREE CHAPTER 2. Harnessing Social Data - Connecting, Capturing, and Cleaning 3. Uncovering Brand Activity, Popularity, and Emotions on Facebook 4. Analyzing Twitter Using Sentiment Analysis and Entity Recognition 5. Campaigns and Consumer Reaction Analytics on YouTube – Structured and Unstructured 6. The Next Great Technology – Trends Mining on GitHub 7. Scraping and Extracting Conversational Topics on Internet Forums 8. Demystifying Pinterest through Network Analysis of Users Interests 9. Social Data Analytics at Scale – Spark and Amazon Web Services

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...
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