... public opinion on Twitter in different disaster stages using the case of Hurricane Irma. Design/methodology/approach More than 3.5m tweets capturing the entire disaster lifecycle were collected and analyzed. Topic modeling was used to generate topics at each disaster stage based on Fink’s (1986) four...

...–2016. The unstructured data are analyzed using probabilistic topic modeling and sentiment analysis. Findings Five main topics are identified, unveiling the hidden structure of consumers’ beliefs. A sentiment analysis profiling the clustered opinions reveals that the opinions that are focused...

.... The Louvain algorithm is used to detect communities of co-commenting. Cosine similarity and topic modeling based on latent Dirichlet allocation are applied to study topical coherence within these communities. Findings – Bloggers unite into moderately manifest communities by commenting roughly the same...