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) S. Moro, P. Rita and B. Vala. Predicting social media performance metrics and evaluation 
   of the impact on brand building: A data mining approach. Journal of Business Research, Elsevier, In press.
 
   Available at: http://dx.doi.org/10.1016/j.jbusres.2016.02.010


1. Title: Facebook performance metrics

2. Sources
   Created by: Sérgio Moro, Paulo Rita and Bernardo Vala (ISCTE-IUL) @ 2016
   
3. Past Usage:

   The full dataset was described and analyzed in:

   S. Moro, P. Rita and B. Vala. Predicting social media performance metrics and evaluation of the impact on 
   brand building: A data mining approach. Journal of Business Research, Elsevier, In press, Available online 
   since 28 February 2016.

4. Relevant 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.


5. Number of Instances: 500

6. Number of Attributes: 19

7. 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")

8. Missing Attribute Values: None