... and text-mining techniques, 20,000 comments from Instagram were systematically classified into positive and negative sentiments. The study identified seven positive themes (creativity, engagement, inspiration, aesthetic appeal, community support, brand collaboration and authenticity) and five negative...

...Puneett Bhatnagr; Anupama Rajesh; Richa Misra Purpose This study aims to analyse and understand customer sentiments and perceptions from neobanking mobile applications by using advanced machine learning and text mining techniques. Design/methodology/approach This study explores a substantial...

... have examined the effects of social media usage on mental health, there is a lack of research synthesizing learning from this body of research. The purpose of this study is to use text mining and citation-based bibliometric analysis to conduct a detailed review of extant literature on health workers...

..., advertising or product recommendation. Our research provides an expanded LDA model to measure consumers’ product evaluation expressed in words. It mainly involves two aspects: On the basis of the LDA model, a text mining method based on a comparison among reviews is proposed. We separate the category...

... the selection of the appropriate policing strategies portfolio to solve the problem. Design/methodology/approach The developed model uses a methodology for the discovery of knowledge involving text mining techniques using Latent Dirichlet Allocation (LDA) integrated with the ELECTRE I multicriteria method...