Characterizing documents about colombian indigenous peoples using text analytics
Fecha
2020Autor
Piñeros-Enciso, Jonathan
Director(es)
Galpin, I.
Documentos PDF
Resumen
The 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.
Palabras clave
Text Analytics; Sentiment Analysis; Indigenous CommunitiesColecciones
Estadísticas Google Analytics
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