Description
Recent reports showed that more than 5.5M customer service-related tweets are generated per month, and customers who complain on social media spend 20% more on products and services than other customers. Despite its popularity and importance, research on
Recommended Citation
Hu, Yuheng; Tafti, Ali; and Gal, David, "Predicting Complainers on Social Media: A Machine Learning Approach" (2018). ICIS 2018 Proceedings. 15.
https://aisel.aisnet.org/icis2018/datascience/Presentations/15
Predicting Complainers on Social Media: A Machine Learning Approach
Recent reports showed that more than 5.5M customer service-related tweets are generated per month, and customers who complain on social media spend 20% more on products and services than other customers. Despite its popularity and importance, research on