عنوان

Social media data mining and analytics /

(Number (ISBN

111882489X

(Number (ISBN

1118824903

(Number (ISBN

1119183510

(Number (ISBN

9781118824894

(Number (ISBN

9781118824900

(Number (ISBN

9781119183518

Erroneous ISBN

1118824857

Erroneous ISBN

9781118824856

Title Proper

Social media data mining and analytics /

General Material Designation

[Book]

First Statement of Responsibility

Gabor Szabo, Gungor Polatkan, Oscar Boykin, Antonios Chalkiopoulos.

Place of Publication, Distribution, etc.

Indianapolis, IN :

Name of Publisher, Distributor, etc.

John Wiley & Sons,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource (xxxv, 316 pages) :

Other Physical Details

illustrations (some color)

Text of Note

Includes index.

Text of Note

Introduction -- Chapter 1. Users: The Who of Social Media -- Chapter 2. Networks: The How of Social Media -- Chapter 3. Temporal Processes: The When of Social Media -- Chapter 4. Content: The What of Social Media -- Chapter 5. Processing Large Datasets -- Chapter 6. Learn, Map, and Recommend -- Chapter 7. Conclusions.

0

Text of Note

Harness the power of social media to predict customer behavior and improve sales. Social media is the biggest source of Big Data. Because of this, 90% of Fortune 500 companies are investing in big data initiatives that will help them predict consumer behavior to produce better sales results. Social Media Data Mining and Analytics shows analysts how to use sophisticated techniques to mine social media data, obtaining the information they need to generate amazing results for their businesses.Social Media Data Mining and Analytics isn't just another book on the business case for social media. Rather, this book provides hands-on examples for applying state-of-the-art tools and technologies to mine social media - examples include Twitter, Wikipedia, Stack Exchange, Live Journal, movie reviews, and other rich data sources. In it, you will learn:The four key characteristics of online services-users, social networks, actions, and content The full data discovery lifecycle-data extraction, storage, analysis, and visualization How to work with code and extract data to create solutions How to use Big Data to make accurate customer predictions How to personalize the social media experience using machine learning Using the techniques the authors detail will provide organizations the competitive advantage they need to harness the rich data available from social media platforms.

Source for Acquisition/Subscription Address

Safari Books Online

Stock Number

CL0501000068

Business planning-- Data processing.

Consumer behavior-- Forecasting.

Consumer profiling-- Data processing.

Data mining-- Social aspects.

Data mining.

Social media-- Data processing.

BUSINESS & ECONOMICS-- Industrial Management.

BUSINESS & ECONOMICS-- Management Science.

BUSINESS & ECONOMICS-- Management.

BUSINESS & ECONOMICS-- Organizational Behavior.

Business planning-- Data processing.

Consumer behavior-- Forecasting.

Data mining-- Social aspects.

Data mining.

BUS-- 041000

BUS-- 042000

BUS-- 082000

BUS-- 085000

Number

Edition

Class number

Book number

Szabó, Gábor

Boykin, Oscar

Chalkiopoulos, Antonios

Polatkan, Gungor

Date of Transaction

20200822151907.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y