Monitoring interaction and collective text production through text mining
This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph. The Network was implemented in the Collective Text Editor (CTE) wh...
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| Autores principales: | , , , |
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| Formato: | Artículo publishedVersion Avaliado pelos pares |
| Lenguaje: | Portugués |
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Universidade Estadual de Campinas
2014
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| Acceso en línea: | https://www.fe.unicamp.br/revistas/ged/etd/article/view/5730 http://biblioteca.clacso.edu.ar/gsdl/cgi-bin/library.cgi?a=d&c=br/br-049&d=article5730oai |
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| Sumario: | This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph. The Network was implemented in the Collective Text Editor (CTE) which is an online tool that allows the production of texts in synchronized or non-synchronized forms. This article describes the application of the Network both in texts produced collectively and texts produced in a forum. The purpose of the tool is to offer support to the teacher in managing the high volume of data generated in the process of interaction amongst students and in the construction of the text. Specifically, the aim is to facilitate the teacher’s job by allowing him/her to process data in a shorter time than is currently demanded. The results suggest that the Concepts Network can aid the teacher, as it provides indicators of the quality of the text produced. Moreover, messages posted in forums can be analyzed without their content necessarily having to be pre-read. |
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