Geospatial Intelligence meets Text Analytics

Geographic information systems (GIS) are digital technologies for storing, analyzing, and displaying geographic information. They allow one to reveal the spatial and geographical nature of complex social phenomena through the production of static and dynamic maps. These tools often use data that is quantitative or categorical in nature. They are less well suited for leveraging the richness of information stored in unstructured text data such as interview transcripts, tweets, crime narratives, customer feedback, field notes, or in photographic images.

Computer-assisted qualitative data analysis software (CAQDAS) and text analytics techniques have proven more valuable for extracting insightful information from such unstructured sources. They can provide rich details for a better understanding of complex social phenomena, such as people’s perceptions and interpretations, or reveal hidden factors or unexpected connections underlying those phenomena.

Provalis Research’s QDA Miner and WordStat provide a unique integration of GIS mapping, qualitative analysis, and text analytics features, allowing one to relate unstructured text data with geographic information to create maps, timelines, and other graphic displays to enhance your analysis and presentations. The software is equally adept at utilizing location-based data embedded in text data, linked with another source, or stored separately from the unstructured text.

To learn more how to make full use of geographic information embedded in text and image, click on the following link: GIS meets Text Analytics