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This presentation outlines a semantic approach to the mining and analysis of ideological discourse from electronic texts. This approach integrates a qualitative social scientific method of textual analysis (Critical Discourse Analysis) with a quantitative ontology-based reasoning and information retrieval method using semi-automatic natural language processing techniques. It is applied to the analysis of Marxist discourse, as represented in the Marxists Internet Archive (http://www.marxists.org) thematic collection, containing nearly 15,000 texts. The application focuses on the acquisition of emerging schemas, which can contribute to the classification of unknown texts by ideological perspective.