… to leverage machine learning methods. We provide an overview of common machine learning
… We argue that machine learning methods can process large-scale and unstructured data, …

… of the different engagement metrics for different timeframes. We applied machine learning and
data … The variability of consumer engagement was also analysed highlighting the changes …

… Neuromarketing for Strategic Consumer Engagement addresses several topics in the
discipline of Neuroscience articulated with the discipline of Neuromarketing. We present material …

… of consumer engagement has attracted the marketers over the globe. The smartphones are
assumed as a means of user engagement for … review on consumer engagement in digital …

… intensity of different brand post characteristics on consumer engagement. Based on the
theory of consumer engagement, consumer engagement on social media is empirically studied …

… tool for enhancing consumer engagement, this study pays … fostering consumer-brand
relationships in the CMC context. … tool to improve consumer engagement and enhance overall …

… consumer brands. Post-related factors in addition to the contextual and temporal factors
influencing consumer engagement (… Through predictive analysis, four different machine learning …

… machine learning methods, which are supervised methods and methods that rely on dictionaries,
unsupervised methods. The machine-learning … set for the machine learning analysis is …

… Using machine learning algorithms sets the current paper apart from classical systematic
literature … This era was all about consumer engagement with digital channels and digital media. …

… Drawing from self-disclosure and self-enhancement, it stands to reason that messages
generated by brands encouraging consumer expression should receive more engagement. …