Provalis Research Boosts its Text Mining Software with Better Search Capabilities

Provalis Research announces a new version of its WordStat text mining software, which facilitates the process of generating important insight from text data instantly, no experience required.

This new version has an Explorer mode allowing inexperienced users to quickly analyze many documents and identify the most frequent words, topics and phrases.

In Explorer mode users may also apply a categorization dictionary to find specific themes. WordStat 8 uses a faster topic modeling protocol based on non-negative matrix factorization.

It produces topics with words and phrases and provides suggestions for additional expressions, spelling corrections, and potential exceptions for better measurement of concepts.

With case sensitivity support, Regex pattern searches (Regular Expression such as email addresses or postal codes) or new substitution techniques, the customization and sharing of the categorization process is easier and more precise.

WordStat has an open interface with numerous solutions and directly imports and creates projects from Windows File Explorer, Excel, Word, PDF, Stata, CSV, social media, web survey platforms, and reference manager tools.

To speed up the data analysis, WordStat 8 allows data analysts to pre-process or transform text documents using Python scripts. WordStat can still be run as a content analysis tool within QDA Miner, Stata or SimStat.

For more information about this update, visit www.provalisresearch.com.