A systematic review of the use of topic models for short text social media analysis

ABSTRACT: Recently, research on short text topic models has addressed the challenges of social media datasets. These models are typically evaluated using automated measures. However, recent work suggests that these evaluation measures do not inform whether the topics produced can yield meaningful insights for those examining social media data. Efforts to address this issue, including gauging the alignment between automated and human evaluation tasks, are hampered by a lack of knowledge about how researchers use topic models. Further problems could arise if researchers do not construct topic models optimally or use them in a way that exceeds the models’ limitations. These scenarios threaten the validity of topic model development and the insights produced by researchers employing topic modelling as a

SUBMITTER: Laureate C 

PROVIDER: S-EPMC10150353 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature