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			<subfield code="a">ARTICLE</subfield>
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			<subfield code="a">Romero_RCS_2021/IDIAP</subfield>
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		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Topic analysis and tracking from Mexico's President daily press briefing</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Romero, Luis Armando Arias</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Ramírez-de-la-Rosa, Gabriela</subfield>
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		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Villatoro-Tello, Esaú</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2="0">
			<subfield code="i">EXTERNAL</subfield>
			<subfield code="u">http://publications.idiap.ch/attachments/papers/2021/Romero_RCS_2021.pdf</subfield>
			<subfield code="x">PUBLIC</subfield>
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		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="p">Journal of Research in Computing Science</subfield>
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		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2021</subfield>
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		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">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</subfield>
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