Abstract

This review paper presents a comprehensive analysis of 10 selected research papers that investigate the interplay between social media, gamification, and sentiment analysis. The papers cover a wide range of topics, including customer engagement, user behaviour in mobile apps, sustainable behaviour change, opinion mining, sentiment analysis techniques, and applications of sentiment analysis on social media data. The review offers valuable insights into the effects of social media and gamification on customer engagement by examining empirical studies and conceptual models In the realm of sentiment analysis, the reviewed papers shed light on opinion mining and sentiment analysis techniques applied to social media data. They explore the use of machine learning and lexicon-based approaches for sentiment analysis, along with the application of convolutional neural networks with word embedding for sentiment analysis of customer reviews. Furthermore, the review presents a comprehensive survey of techniques and applications of sentiment analysis on social media data. This comprehensive review contributes to the existing knowledge by offering a holistic perspective on the relationships between social media, gamification, and sentiment analysis. It underscores the significance of these areas in understanding customer engagement, user behaviour, and sentiment analysis on social media platforms. The findings from these papers have implications for researchers, practitioners, and professionals working in the fields of social media, gamification, and sentiment analysis, providing valuable insights for further exploration and practical implementation.

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