Abstract
Systematic thought has primarily been investigated using literature-based approaches. However, as systematic ideas and thought influence all areas of human activity and thinking, the application of NLP (Natural Language Processing) techniques and other information technologies may provide a more objective understanding of systematic thought. This paper focuses on documents of Christian teaching, and developed methods to extract characteristics of thoughts scientifically. These methods were implemented in the Classic Text Analysis System. This system has object-oriented design and will be applicable for other systematic thoughts written on some corpus.
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Murai, H., Tokosumi, A. (2008). Extracting Concepts from Religious Knowledge Resources and Constructing Classic Analysis Systems. In: Tokunaga, T., Ortega, A. (eds) Large-Scale Knowledge Resources. Construction and Application. LKR 2008. Lecture Notes in Computer Science(), vol 4938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78159-2_5
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DOI: https://doi.org/10.1007/978-3-540-78159-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78158-5
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