Provalis Research Introduces QDA Miner 5 to Improve Advanced Qualitative Data Analysis of Unstructured Text

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provalis_logoProvalis Research, a leading provider of text analytics software, announces the release of QDA Miner 5 (Qualitative Data Analysis). This latest version provides enhanced data portability, sharpened analysis of unstructured text and increased visualization capabilities.

The new version introduces more than 25 new features that facilitate data import from external sources and uses powerful analysis tools to present results. With QDA Miner 5, you can import directly from:

  • Web survey platforms
  • Social media and email programs
  • Reference management tools

QDA Miner 5 allows direct data importing from well known platforms such as: Survey Gizmo, Survey Monkey, Qualitrics, Question Pro, Voxco, Facebook, Twitter, Endnote, Zotero, Mendeley, Outlook, Mbox and many others. Information collected from those sources may be analyzed using the manual coding and analysis functions of QDA Miner 5 or the automatic content analysis and text mining features of WordStat.

QDA Miner 5’s new GIS mapping tool enables you to use geographic information and enhance your qualitative data analysis by creating three different types of maps: interactive maps of data points, thematic maps and heat maps. The new visual displays and charting options offer a quick glimpse of the spatial distribution of your coding with the document overview feature, display code co-occurrence using the Link Analysis feature or allow you to view your codes according the codebook hierarchical structure using the new Tree Grid report.

QDA Miner is an easy-to-use qualitative data analysis software package for coding, annotating, retrieving and analyzing small and large collections of documents and images. The QDA Miner qualitative data analysis tool may be used to analyze interview or focus group transcripts, legal documents, journal articles, speeches, even entire books, as well as drawings, photographs, paintings, and other visual documents. Its seamless integration with WordStat, a quantitative content analysis and text mining module and SimStat, a statistical data analysis tool, gives data analysts unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.


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