Textual or Text Analytics are any analysis of text-based or unstructured data for the purposes of understanding deeper information in those data. The process often requires capturing, building and cleaning large datasets comprised of text, and designing inference models based upon those processes. Business use these data analytics all the time given their focus upon text for basic communication, not to mention the advanced needs of text-based reporting for organizational activities such as decision-making, report archiving, stakeholder assessment, and message crafting.
Our collaborators can use any data set we build. Examples of data sets that we've built so far include:
For additional data sets available to download or purchase, contact TAPLab coordinator Curt Gilstrap.