Center for Machine Learning and Intelligent Systems
About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Facebook metrics Data Set
Download: Data Folder, Data Set Description

Abstract: Facebook performance metrics of a renowned cosmetic's brand Facebook page.

Data Set Characteristics:  

Multivariate

Number of Instances:

500

Area:

Business

Attribute Characteristics:

Integer

Number of Attributes:

19

Date Donated

2016-08-05

Associated Tasks:

Regression

Missing Values?

N/A

Number of Web Hits:

41373


Source:

Created by: Sérgio Moro, Paulo Rita and Bernardo Vala (ISCTE-IUL) @ 2016


Data Set Information:

The data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand.
This dataset contains 500 of the 790 rows and part of the features analyzed by Moro et al. (2016). The remaining were omitted due to confidentiality issues.


Attribute Information:

It includes 7 features known prior to post publication and 12 features for evaluating post impact (see Tables 2 and 3 from Moro et al., 2016 - complete reference in the 'Citation Request')


Relevant Papers:

(Moro et al., 2016) Moro, S., Rita, P., & Vala, B. (2016). Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach. Journal of Business Research, 69(9), 3341-3351.



Citation Request:

This dataset is public available for research. The details are described in (Moro et al., 2016).
Please include this citation if you plan to use this database:

(Moro et al., 2016) Moro, S., Rita, P., & Vala, B. (2016). Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach. Journal of Business Research, 69(9), 3341-3351.

Available at: [Web Link]


Supported By:

 In Collaboration With:

About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML