%Aigaion2 BibTeX export from Idiap Publications
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@ARTICLE{Romero_RCS_2021,
         author = {Romero, Luis Armando Arias and Ram{\'{\i}}rez-de-la-Rosa, Gabriela and VILLATORO-TELLO, Esa{\'{u}}},
       projects = {Idiap},
          month = may,
          title = {Topic analysis and tracking from Mexico's President daily press briefing},
        journal = {Journal of Research in Computing Science},
           year = {2021},
       abstract = {Language is a very useful tool to politicians. Several areas such as linguistics, sociology and communication consider important the study of political discourse analysis. In this paper we present a method for topic detection using LDA in 534 daily press briefing of the Mexico's president: Andr{\'{e}}s Manuel L{\'{o}}pez Obrador. Subsequently, through a web system, which we call DICTA, a person can quickly view the topics discussed in these briefing. Through experimental evaluation we found the highest coherence value when using 18 topics},
            pdf = {https://publications.idiap.ch/attachments/papers/2021/Romero_RCS_2021.pdf}
}