# Enhancing text-based data Creating or compiling a corpus or converting a raw primary source into machine-readable text formats is a first, necessary step in digitally analyzing texts. There are, however, certain ways in which we can expand significantly our understanding of the semantic links, intertextual parallels and spatio-temporal relations of our text by enriching, enhancing, and annotating them. More specifically we can ehnace our texts by: - using named entity recognition tools - using geoparsing tools - annotating texts - correcting OCR ## Example: INCEpTION Annotation tool INCEpTION is a Java-based text annotation platform. You can [download](https://inception-project.github.io/downloads/) and set up a local installation of the INCEpTION platform or you can [try a demo verion](https://morbo.ukp.informatik.tu-darmstadt.de/demo) online. `$ java -jar inception-app-standalone-x.xx.x.jar` The image shown below is an example of a named entity recommendation dashboard for Brazilian legal texts. ![INCEption Dashboard](https://i.imgur.com/vgUNgtz.png) ## Example: Recogito Task: Download the Iliad (fragment) .txt file here: https://cuny907-my.sharepoint.com/:t:/g/personal/dimitrios_papadopoulos43_login_cuny_edu/EapxL0QYb5JPuzoQ9knoqxgBJFnkAIFUdtjq-xGnea6Q3Q?e=ITuMxS Source: https://www.perseus.tufts.edu/hopper/text?doc=Perseus%3Atext%3A1999.01.0134%3Abook%3D2%3Acard%3D546 Hom. Il. 2.546. Homer. The Iliad with an English Translation by A.T. Murray, Ph.D. in two volumes. Cambridge, MA., Harvard University Press; London, William Heinemann, Ltd. 1924. Got to https://recogito.pelagios.org/ and create a user account (registration required). Recogito is an open source software tool for historical text annotation, name entity recognition and mapping. Here’s a 10-minute tutorial: https://recogito.pelagios.org/help/tutorial Once you set up an account. log in and then click on “Add” ? “File Upload”. Upload the text file. Locate the Iliad_1 text file listed and from the “Options” (top right) select “Named Entity Recognition.” Select “Stanford CoreNLP” as the preferred engine. Click “Start NER.” Go back to the listed .txt file and select “Quick view” for “Places” and “Persons” and then “Map View”. Click on “Download Options” to export your project.