WordStat

Text mining for interviews, surveys and open-ended answers

WordStat is software from Provalis Research for analysing very large amounts of written material, such as customer surveys, political speeches, academic papers, emails and Twitter feeds. The aim is to bring out shared topics, themes and underlying meaning in text that has no set structure. The vendor's own example is a hotel chain with 100,000 customer comments about rooms, food service or outdoor facilities, where the software searches the responses and generates common themes to show where improvement is needed.

Entities, keywords and topic modelling

According to the vendor, WordStat imports text from many sources and extracts entities, keywords, phrases and topics. It explores content with topic modelling, classifies it automatically into categories and examines relationships between text and numbers. Generative AI integration is part of the current offer, along with interactive visualisation tools. The vendor says it works on interview transcripts, open-ended questions, customer feedback, news and social media, and now includes audio and video transcription.

Part of a suite

ProSuite bundles QDA Miner, WordStat and SimStat. Their interoperability lets researchers combine numerical and textual data in one project file and move between quantitative and qualitative analysis. QDA Miner is the qualitative data analysis software, used to code and annotate text segments and images and to assess coder reliability.

Trying it

Provalis Research offers free web demonstrations on a prospect's own data for the full version of QDA Miner, WordStat and SimStat, and not for current clients.