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Designing an Experiment Platform for Information Exploration with Relational Text Mining : A Case Study with the Taiwan 228-event News Archive

This study integrates methods on computer science and social sciences and, with historian perspectives, views historical text as embedding a miniature social system. The task involves extracting relations among entities from text and performing structural analysis of the constructed entity-relationship network. One of the primary goals is to find the key-role actor and reveal its social position, which may defined by certain incidents, words, behaviors. Another further goal is to find other actors with similar social position and identify the underlying community. Finally, an abstract social role can be characterized to provide insight on the constructed social system from text. We develop an experimental platform – PARTEX, which provides text analytic tools and allows exploratory observation on relational structure among entities. Among our well-preprocessed and imported document collections, with historian inputs on key conceptual words as focal issues, the platform has been used to identify entity relations and construct the embedded social system. Discourse perspectives of position, demand, emotion, and action, are investigated with contextual parameters of boundary, association type, and relational strength. Both visual representation of the discourse-oriented social system and the quantitative measures are presented for analytic comparison. This study hopes to provide an effective text analytic tool and contribute in discovering historical implications. We intend to further improve the platform by recursive use test and validate the approach by fostering fruitful research results.