WordMaps is a platform resource for extracting key insights from documents. The platform facilitates analytic transparency for a range of needs, including GDPR-compliance (https://eugdpr.org), general document-based due diligence, authorship and linguistic/forensic analysis as well as journalistic research.
WordMaps comes with a built-in Topic Model fast and reliable analysis, along with navigation of large bodies of qualitative data. Users can also develop their own Topic Models with our intuitive user interface (see tutorials).
The WordMaps Topic Model supports the recognition of:
- Word classes/parts of speech.
- Rhetorical devices and phraseology.
- Semantically sorted content (over 180.000 topics - April 2019).
Analyzable texts include company-internal material, content from social media, political debates, speeches and digitized historical documentation.
At the core, WordMaps is aimed at qualitative discovery. Wherever relevant, WordMaps also allows for quantification and visualization of findings. Key reports are WordMaps Token Clouds, WordMaps Intersections/CrossTabs, WordMaps Vocabulary Analysis, and WordMaps N-gram Analysis. WordMaps supports the use of boolean logic when combining criteria plus powerful uses of parent and child topics.
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