Open Conference Systems, CLADAG2023

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Analysing the effect of different design choices in network-based topic detection
Carla Galluccio, Matteo Magnani, Davide Vega, Giancarlo Ragozini, Alessandra Petrucci

Last modified: 2023-06-09


In the literature on topic modelling, network-based procedures for topic detection have become popular as an alternative to classical topic models, showing promising results. However, the lack of a systematic analysis of how the design choices made in text processing and network definition affect the results in terms of topics detected makes using these procedures demanding. Therefore, this work aims to fill this gap by showing how and to what extent the choices made during the analysis influence the features of the topics discovered.