Explore broader themes in a corpus with our topic model. This model identifies common themes across texts by grouping words according to their co-occurrence with other words. If words co-occur in some texts and not others, the model will associate those words and documents with a common topic. Each topic identified in this corpus is represented below as a bubble, sized according to the prevalence of that topic. Click or hover on a bubble for more information.
Categories have all been identified and hand-tagged by the EEBO-TCP team. You can filter by any combination of parameters.