Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Multifaceted Approach at Discerning Redditors Feelings Towards ChatGPT Subject The topic of the resource Generative AI; Multi-Stage Sampling; Multiple Hypothesis Testing; Opinion Mining; Topic Modelling Description An account of the resource Generative AI platforms like ChatGPT have leapfrogged in terms of technological advancements. Traditional methods of scrutiny are not enough for assessing their technological efficacy. Understanding public sentiment and feelings towards ChatGPT is crucial for pre-empting the technologys longevity and impact while also providing a silhouette of human psychology. Social media platforms have seen tremendous growth in recent years, resulting in a surge of user-generated content. Among these platforms, Reddit stands out as a forum for users to engage in discussions on various topics, including Generative Artificial Intelligence (GAI) and chatbots. Traditional pedagogy for social media sentiment analysis and opinion mining are time consuming and resource heavy, while lacking representation. This paper provides a novice multifrontal approach that utilises and integrates various techniques for better results. The data collection and preparation are done through the Reddit API in tandem with multi-stage weighted and stratified sampling. NLP (Natural Language processing) techniques encompassing LDA (Latent Dirichlet Allocation), Topic modelling, STM (Structured Topic Modelling), sentiment analysis and emotional analysis using RoBERTa are deployed for opinion mining. To verify, substantiate and scrutinise all variables in the dataset, multiple hypothesises are tested using ANOVA, T-tests, KruskalWallis test, Chi-Square Test and MannWhitney U test. The study provides a novel contribution to the growing literature on social media sentiment analysis and has significant new implications for discerning user experience and engagement with AI chatbots like ChatGPT. 2024 Padarha et al., licensed to EAI. Creator An entity primarily responsible for making the resource Padarha S.; Vijaylakshmi S. Source A related resource from which the described resource is derived EAI Endorsed Transactions on Internet of Things, Vol-10 Publisher An entity responsible for making the resource available European Alliance for Innovation Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4108/eetiot.6447" target="_blank" rel="noreferrer noopener">https://doi.org/10.4108/eetiot.6447</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197709710&amp;doi=10.4108%2Feetiot.6447&amp;partnerID=40&amp;md5=05aefc77442a184f9044840dc80bb0e8" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197709710&amp;doi=10.4108%2feetiot.6447&amp;partnerID=40&amp;md5=05aefc77442a184f9044840dc80bb0e8</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 24141399 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Padarha S., CHRIST (Deemed to be University), Pune, Lavas, India; Vijaylakshmi S., CHRIST (Deemed to be University), Pune, Lavas, India