Text mining tools provide the ability to take unstructured data in the form of digitized text, and translate this data into useful knowledge. Semantic text analysis combines quantitative computer support with expert experience to process text data qualitatively. This can give new views of data that can lead to human insight. This paper demonstrates the process by which PolyAnalyst can take employee survey data and develop business taxonomies showing the logical organization of responses, making it easier to see the views held on each issue along with their relative support.
This paper’s aim is to demonstrate the process through which unstructured text data is converted to useful knowledge.