Examinando por Materia "Content analysis"

Mostrando 1 - 4 de 4
  • Miniatura
    Ítem
    Atributos característicos de las marcas de bienes de lujo
    (Universidad EAFIT, 01/06/2006) Carlos Mario Uribe Saldarriaga; Universidad EAFIT
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    Ítem
    Comparison and evaluation of different methods for the feature extraction from educational contents
    (MDPI Multidisciplinary Digital Publishing Institute, 2020-01-01) Aguilar, J.; Salazar, C.; Velasco, H.; Monsalve-Pulido, J.; Montoya, E.; Aguilar, J.; Salazar, C.; Velasco, H.; Monsalve-Pulido, J.; Montoya, E.; Universidad EAFIT. Departamento de Ingeniería de Sistemas; I+D+I en Tecnologías de la Información y las Comunicaciones
    This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representations can be obtained from different LOM fields, like the title, description, among others, in order to extract the features/characteristics from the digital resources. The feature extraction methods used in this paper are the Best Matching 25 (BM25), the Latent Semantic Analysis (LSA), Doc2Vec, and the Latent Dirichlet allocation (LDA). The utilization of the features/descriptors generated by them are tested in three types of educational digital resources (scientific publications, learning objects, patents), a paraphrase corpus and two use cases: in an information retrieval context and in an educational recommendation system. For this analysis are used unsupervised metrics to determine the feature quality proposed by each one, which are two similarity functions and the entropy. In addition, the paper presents tests of the techniques for the classification of paraphrases. The experiments show that according to the type of content and metric, the performance of the feature extraction methods is very different; in some cases are better than the others, and in other cases is the inverse. © 2020 by the authors.
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    Publicación
    La personalización de la política en Antioquia : análisis de la estrategia digital de Andrés Julián Rendón en Instagram durante la campaña a la gobernación de Antioquia (2023-2027)
    (Universidad EAFIT, 2026-04-27) Quiñones Villegas, Laura; Restrepo Echavarría, Nestor Julián
    This study analyzes the personalization of politics in Antioquia through Andrés Julián Rendón's digital strategy on Instagram during his campaign for the Governorship of Antioquia for the 2023–2027 term. The research was conducted between January and October 2023, during which 97 reels were examined, selected based on their reach, interactions, and thematic relevance. Although the initial design contemplated 10 pieces per month, the consolidated sample comprised 97 publications, organized into categories of narrative, analytics, image, and interaction. The findings reveal a marked digital personalization of leadership, reflected in the centrality of the candidate, the repeated use of the slogan “Por Antioquia Firme,” the creation of a distinctive visual identity, and the partial subordination of the party to the aspirant's image. In addition, a confrontational strategy was identified, focused against the so-called Petroquinterismo, a term used during the campaign to associate the outgoing mayor of Medellín, Daniel Quintero, with the political project of President Gustavo Petro. Thus, the campaign projected the candidate as a defender of Antioquia against external and internal adversaries, reinforcing the emotional and symbolic dimensions of his leadership. The study demonstrates that Instagram served not only as a channel of dissemination but also as a setting for the symbolic construction of leadership, where territorial narratives, emotionality, images, and audience interaction strengthened the personalization of politics at the subnational level. Therefore, this research contributes to understanding the contemporary transformations of political communication in Colombia and how social media reconfigures the relationship between the candidate, the party, and the electorate.
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    Publicación
    What do you say and how do you say it: Information disclosure in Latin American firms
    (Universidad EAFIT, 2016-10-01) González, Maximiliano; Gúzman, Alexander; Téllez, Diego; Trujillo, María-Andrea
    Firms in Latin America could differentiate themselves by adopting better information disclosure practices. In this paper, we construct an Information Disclosure Index (IDI) for a sample of 454 firms in the six largest Latin America countries. We look at 3.191 company reports and show that firms with better disclosure practices have better market valuation (Tobin’s Q) and operating performance (ROE). We then measure the tone of the information disclosed using word content analysis, and find that uncertainty in tone is negatively associated with higher firm valuation (Tobin’s Q) and better financial performance (ROE).