Topic analysis and tracking from Mexico's President daily press briefing
| Type of publication: | Journal paper |
| Citation: | Romero_RCS_2021 |
| Publication status: | Accepted |
| Journal: | Journal of Research in Computing Science |
| Year: | 2021 |
| Month: | May |
| 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: Andrés Manuel López 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 |
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| Projects: |
Idiap |
| Authors: | |
| Added by: | [UNK] |
| Total mark: | 0 |
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