Computer-aided topic modelling based on festival-goers’ opinions – results of an experiment
DOI:
https://doi.org/10.14267/TURBULL.2021v21n1.1Keywords:
social media analysis, natural language processing, topic modelling, latent Dirichlet allocationAbstract
In our study, we attempt to determine the typical topics of opinions written by Sziget Festival visitors on Facebook using structured topic model (stm) computer algorithm and latent Dirichlet allocation, and compare the results with our previous research. Based on written opinions of the visitors of the Sziget Festival in the last seven years, we modelled nine topics. Their content and scope partly matched the topics identified in our previous qualitative research. The most important result of our study is that visitor opinions can be successfully examined with computer tools, but the quality of the results is determined by the size of the corpus, i.e. the number and scope of the analysed posts.
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