Show simple item record

dc.contributor.advisorGalpin, Ixent
dc.coverage.spatialColombiaspa
dc.creatorPiñeros-Enciso, Jonathan
dc.date.accessioned2020-09-17T14:30:57Z
dc.date.available2020-09-17T14:30:57Z
dc.date.created2020
dc.identifier.urihttp://hdl.handle.net/20.500.12010/13348
dc.description.abstractThe indigenous peoples of Colombia have a considerable social, political and cultural wealth. However, issues such as the decadeslong armed conflict and drug trafficking have posed a significant threat to their survival. In this work, publically available documents on the Internet with information about two indigenous communities, the Aw´a and Inga people from the Cauca region in southern Colombia, are analyzed using automated text analytics approaches. A corpus is constructed comprising general characterization documents, media articles and sentences from the Constitutional Court. Topic analysis is carried out to identify the relevant themes in the corpus to characterize each community. Sentiment analysis carried out on the media articles indicates that the articles about the Inga tend to be more positive and objective than the Aw´a. This may be attributed to the significant impact that the armed conflict has had on the Awa´ in recent years, and the productive projects of the Inga. Furthermore, an approach for summarizing long, complex documents by means of timelines is illustrated with a sentence issued by the Constitutional Court. It is concluded that such an approach has significant potential to facilitate understanding of documents of this nature.spa
dc.format.extent18 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherUniversidad de Bogotá Jorge Tadeo Lozanospa
dc.sourceinstname:Universidad de Bogotá Jorge Tadeo Lozanospa
dc.sourcereponame:Expeditio Repositorio Institucional UJTLspa
dc.subjectText Analyticsspa
dc.subjectSentiment Analysisspa
dc.subjectIndigenous Communitiesspa
dc.titleCharacterizing documents about colombian indigenous peoples using text analyticsspa
dc.type.localTrabajo de grado de maestríaspa
dc.subject.lembColombia - Historia - Descubrimiento y conquista, 1499-1550spa
dc.subject.lembIngeniaría -- Trabajos de gradospa
dc.subject.lembAlmacenamiento de datosspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rights.localAbierto (Texto Completo)spa
dc.identifier.repourlhttp://expeditio.utadeo.edu.cospa
dc.creator.degreeMagíster en Ingeniería y Analítica de Datosspa
dc.publisher.programMaestría en Ingeniería y Analítica de Datosspa
dc.relation.referencesAgarwal, A., Xie, B., Vovsha, I., Rambow, O., Passonneau, R.J.: Sentiment analysis of twitter data. In: Proceedings of the workshop on language in social media (LSM 2011). pp. 30–38 (2011)
dc.relation.referencesAllan, J., Gupta, R., Khandelwal, V.: Temporal summaries of new topics. In: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval. pp. 10–18 (2001)
dc.relation.referencesBalahur, A., Steinberger, R., Kabadjov, M., Zavarella, V., Van Der Goot, E., Halkia, M., Pouliquen, B., Belyaeva, J.: Sentiment analysis in the news. arXiv preprint arXiv:1309.6202 (2013)
dc.relation.referencesBassi A., A.: Lematizacion basada en an´alisis no supervisado de corpus (aug 2020), https://users.dcc.uchile.cl/~abassi/ecos/lema.html
dc.relation.referencesBautin, M., Vijayarenu, L., Skiena, S.: International sentiment analysis for news and blogs. In: ICWSM (2008)
dc.relation.referencesBlei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. Journal of machine Learning research 3(Jan), 993–1022 (2003)
dc.relation.referencesdel Cauca, C.R.I.: Denuncia pu´blica sobre las falsas acusaciones hacia la minga por parte de los medios de comunicaci´on locales, regionales y nacionales (March 2019), https://www.cric-colombia.org/portal/denuncia-publica-sobre- lasfalsas-acusaciones-hacia-la-minga-por-parte-de-los-medios-de- comunicacionlocales-regionales-y-nacionales/
dc.relation.referencesChen, X., Chan, Z., Gao, S., Yu, M.H., Zhao, D., Yan, R.: Learning towards abstractive timeline summarization. In: IJCAI. pp. 4939–4945 (2019)
dc.relation.referencesChieu, H.L., Lee, Y.K.: Query based event extraction along a timeline. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval. pp. 425–432 (2004)
dc.relation.referencesde Colombia, C.C.: Sentencia t-500/16 acci´on de tutela contra medios de comunicaci´on (2016), https://www.corteconstitucional.gov.co/relatoria/2016/ t-500-16.htm
dc.relation.referencesColquhoun, S., Dockery, A.M.: The link between indigenous culture and wellbeing: Qualitative evidence for australian aboriginal peoples (2012)
dc.relation.referencesDoyle, M.M.: Acceso y participaci´on de los pueblos ind´ıgenas en el sistema de medios de argentina. Disertaciones: Anuario electr´onico de estudios en Comunicacion Social 11(2), 30–49 (2018)
dc.relation.referencesGodbole, N., Srinivasaiah, M., Skiena, S.: Large-scale sentiment analysis for news and blogs. Icwsm 7(21), 219–222 (2007)
dc.relation.referencesHern´andez Delgado, E.: La resistencia civil de los ind´ıgenas del cauca. Papel pol´ıtico 11(1), 177–220 (2006)
dc.relation.referencesKaya, M., Fidan, G., Toroslu, I.H.: Sentiment analysis of turkish political news. In: 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology. vol. 1, pp. 174–180. IEEE (2012)
dc.relation.referencesKessler, R., Tannier, X., Hagege, C., Moriceau, V., Bittar, A.: Finding salient dates for building thematic timelines. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). pp. 730–739 (2012)
dc.relation.referencesLi, X., Xie, H., Chen, L., Wang, J., Deng, X.: News impact on stock price return via sentiment analysis. Knowledge-Based Systems 69, 14–23 (2014)
dc.relation.referencesMani, I., Wilson, G.: Robust temporal processing of news. In: Proceedings of the 38th annual meeting of the association for computational linguistics. pp. 69–76 (2000)
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record