dc.creatorMercado, Viviana
dc.creatorVillagra, Andrea
dc.creatorErrecalde, Marcelo Luis
dc.date2019-10
dc.date2019
dc.date2020-03-17T19:25:02Z
dc.date.accessioned2023-07-14T19:00:02Z
dc.date.available2023-07-14T19:00:02Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/91035
dc.identifierisbn:978-987-688-377-1
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7433604
dc.descriptionPolitical alignment identification is an author profiling task that aims at identifying political bias/orientation in people’ writings. As usual in this kind of field, a key aspect is to have available adequate data sets so that the data mining and machine learning approaches can obtain reliable and informative results. This article takes a step in this direction by introducing a new corpus for the study of political alignment in documents of Argentinian journalists. The study also includes several kinds of analysis of documents of pro-government and opposition journalists such as sentiment analysis, topic modelling and the analysis of psycholinguistic indicators obtained from the Linguistic Inquiry and Word Count (LIWC) system. From the experimental results, interesting patterns could be observed such as the topics both types of journalists write about, how the sentiment polarities are distributed and how the writings of pro-government and opposition journalists differ in the distinct LIWC categories.
dc.descriptionXVI Workshop Bases de Datos y Minería de Datos.
dc.descriptionRed de Universidades con Carreras en Informática
dc.formatapplication/pdf
dc.format507-516
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectText Mining
dc.subjectExploratory data analysis
dc.subjectAuthor Profiling
dc.subjectJournalist Political Alignment
dc.subjectSentiment analysis
dc.subjectTopic Modelling
dc.subjectLIWC
dc.titleExploratory Analysis of a New Corpus for Political Alignment Identification of Argentinian Journalists
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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