Abstract
Social media data or social data is the data generated by users of a social media platform. This significant amount of data produced by users shows their behavior on a particular platform, for example, Twitter, Facebook, and Instagram. Data mining techniques are prevalent in extracting knowledge from social data, but there is much scope in looking at the data from the process mining point of view. We have used a novel process mining technique called Object-Centric Behavioral Constraint modeling for analyzing live social data. Also, deviations from the actual model are analyzed using conformance checking. To bring both process mining and data mining together, we have also done lexicon-based sentiment analysis on the live data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
