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Proceedings of the 12th Mexican International Conference on Artificial Intelligence (MICAI 2013)

Prt. I: Advances in Artificial Intelligence and Its Applications. Berlin: Springer, 2013.

An important text mining problem is to find, in a large collection of texts, documents related to specific topics and then discern further structure among the found texts. This problem is especially important for social sciences, where the purpose is to find the most representative documents for subsequent qualitative interpretation. To solve this problem, we propose an interval semi-supervised LDA approach, in which certain predefined sets of keywords (that define the topics researchers are interested in) are restricted to specific intervals of topic assignments.

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Proceedings of the 12th Mexican International Conference on Artificial Intelligence (MICAI 2013)