Mining Social Media (Finding Stories in Internet Data)
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$29.95
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Product Details
Author:
Lam Thuy Vo
Format:
Paperback
Publisher:
No Starch Press (November 25, 2019)
Language:
English
ISBN-13:
9781593279165
ISBN-10:
1593279167
Weight:
14.4oz
Case Pack:
34
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_delta_active_D20260617T074920_156615850-20260617.xml
Folder:
RandomHouse
List Price:
$29.95
As low as:
$23.06
Publisher Identifier:
P-RH
Discount Code:
A
Pages:
208
Dimensions:
7" x 9.19" x 0.53"
QuickShip:
Yes
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
No Starch Press
Overview
Buzzfeeed News Senior Reporter Lam Thuy Vo explains how to get, process, and analyze data from the social web in meaningful ways with the Python programming language.
Digging Social Media Data will show you the kind of data that can be mined on the social web, the insights that can be gained from it, and the limitations of its scope. You'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook and Twitter and how to recognize the value of what is measured.
Practical exercises interweave with conceptual lessons that cover ways to use Python to extract data from social media sources, analyze it, and make sense of it visually. You'll learn how to write a script that taps into an API, how to scrape data from websites, and even how to make sense of emoji usage in your data.
Digging Social Media Data will show you the kind of data that can be mined on the social web, the insights that can be gained from it, and the limitations of its scope. You'll learn how to find out what kind of data is available on popular social media juggernauts like Facebook and Twitter and how to recognize the value of what is measured.
Practical exercises interweave with conceptual lessons that cover ways to use Python to extract data from social media sources, analyze it, and make sense of it visually. You'll learn how to write a script that taps into an API, how to scrape data from websites, and even how to make sense of emoji usage in your data.
