Examinando por Materia "Content analysis"

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    Atributos característicos de las marcas de bienes de lujo
    (Universidad EAFIT, 01/06/2006) Carlos Mario Uribe Saldarriaga; Universidad EAFIT
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    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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    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; dftellezf@eafit.edu.co
    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).