TopoText was designed at the American University of Beirut (AUB) by an MA student in English, Randa El Khatib, under the supervision of David Wrisley, and was developed with the AUB computer science department. The open source tool creates maps and word clouds related to places. After uploading a novel or other source file in plain text, the program automatically conducts NER-tagging (named-entity-recognition) to identify all places mentioned within the source, highlighting them in a concordance tool for close reading and micro analysis. A map of all places is then automatically created via Google Maps Engine. There is also a facetted search by POS-tagging (noun, verbs, adjectives or adverbs). A word cloud can be generated for a specific place mentioned in a specific context, entailing a micro-analytical approach, or the user can generate a global word cloud visualizing the most frequent words associated with a specific place in its uses across the entire source text.