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Author: AmberYZ

Week 7 - Case Study (regression modeling)/Attributes description.png

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+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: S�rgio 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
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