Abstract
Success of groups in Meetup is of utmost importance for members who organize them. However, measures of group success in Meetup is quite vague till now. In this paper, we take a step to quantify the success of Meetup groups. Driven by a comprehensive study of our Meetup dataset, we handpick a set of key properties which can potentially regulate a group’s success. Finally, we develop a machine learning model leveraging on these features which can predict success of Meetup groups early with high accuracy.
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