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Topic Modeling in Social Media Analysis by telesphore.dgoumtsop is a document available to read on EtoBox.
This conference paper discusses a practical approach to topic modeling for social media content using the Latent Dirichlet Allocation (LDA) algorithm. The authors conducted empirical experiments on a dataset of 90,527 records, successfully identifying five main topics relevant to the aviation and airport management domain. The study highlights the effectiveness of topic modeling in extracting thematic structures from large volumes of unstructured text data without human supervision.
- Author
- telesphore.dgoumtsop
- Language
- EN