Semi-automatic generation of semantic network to describe communities’ victims of the Colombian armed conflict
DOI:
https://doi.org/10.18041/1900-3803/entramado.1.6114Keywords:
Semantic network, public policy, text mining, multivariate analysis techniquesAbstract
The situation of violence in Colombia has produced dynamics that are beyond the control of the State and make it difficult for state institutions to build the public agenda. These institutions have limitations to describe the social and political environment that influence the territory. To overcome these limitations, it is pertinent to generate semantic networks that describe information about communities victims of the armed conflict and, thus, generate an input that local institutions and authorities can use to recognize pillars in the formation of public policies consistent with the needs of each community. In this document is presented the process for the semi-automatic generation of a semantic network from the processing of textual data, using text mining tools and multivariate analysis techniques. The semantic network generated is a first approximation for the description of the characteristics of the Arauca community during the years 2013-2018, which was selected as a case study.
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