Keywords
How to Cite
Abstract
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.References
ASCOTT, Roy. Cultivando o hipercórtex. In: DOMINGUES, D. (Org.). A arte no século XXI: a humanização das tecnologias. São Paulo: Fundação Ed. da UNESP. p. 336-344, 1997.
AZEVEDO, Breno Fabrício Terra, et al. (2009). Estudo de análise qualitativa em fórum de discussão. RENOTE: Revista Novas Tecnologias na Educação, Porto Alegre, v. 7, n. 2, p. 76-86, 2009.
AZEVEDO, Breno Fabrício Terra; BEHAR, Patricia Alejandra; REATEGUI, Eliseo Berni. Qualitative Analysis of Discussion Forums. In: IADIS MULTI CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS, 2010, Freiburg. Proceedings of... Freiburg: IADIS, 2010. p. 251-258. v.1.
FAN, Weigo, et al. Tapping the power of text mining. Communications of ACM. Nova York, v. 9, n. 49, p. 76-82, 2006.
FELDMAN, Ronen; SANGER, James. Text Mining Handbook. Cambridge: University of Cambridge, 2007.
HEARST, Marti. Untangling Text Data. In: ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 37., Maryland. Proceedings of.... Stroudsburg, PA: Association for Computational Linguistics, 1999.
LORENZATTI, Alexandre. SOBEK: uma ferramenta de mineração de textos. 2007. Trabalho de Conclusão – Departamento de Informática, Universidade de Caxias do Sul, Caxias do Sul.
MACEDO, Alexandra Lorandi. Rede de conceitos: uma ferramenta para contribuir com a prática pedagógica no acompanhamento da produção textual coletiva. 2010. Tese (Doutorado) – Programa de Pós-Graduação em Informática na Educação, Universidade Federal do Rio Grande do Sul, Porto Alegre.
MACEDO, Alexandra Lorandi, et al. Using text-mining to support the evaluation of texts produced collaboratively. In: TATNALL, Arthur.; JONES, Anthony. (Org.). Education and technology for a better world. In: IFIP TC3 WORLD CONFERENCE ON COMPUTERS IN EDUCATION, 9., Berlin. Selected papers of the... Berlin: Springer, 2009, p. 368-377.
SCHENKER, Adam Graph-theoretic techniques for web content mining. 2003. Tesis (PhD in Computation Science) – University of South Florida, Florida, United States. TAN, Ah-Hwee. Text mining: the state of the art and the challenges. In: PACIFIC-ASIA WORKSHOP ON KNOWLEDGE DISCOVERY FROM ADVANCED DATABASES, 1999, , Beijing . Proceedings of...[S.l.]: Springer, 1999, p. 65-70.
The ETD - Digital Thematic Education uses the Creative Commons license (CC), thus preserving the integrity of the articles in an open access environment.
Downloads
