Provalis Research Releases Version 4 of QDA Miner, a Computer Assisted Document Management and Qualitative Coding Tool

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Provalis Research is pleased to announce the release of QDA Miner 4, Provalis Research’s qualitative analysis tool, providing researchers with unparalleled computer assistance for coding and analyzing text and image data and for report writing.

QDA miner 4 screenshot

QDA Miner 4 Qualitative Analysis Software

unparalleled computer assistance for coding and analyzing text and image data

Provalis Research, a leading provider of text analysis software, is pleased to announce the release of QDA Miner 4, Provalis Research’s qualitative analysis tool, providing researchers with unparalleled computer assistance for coding and analyzing text and image data and for report writing.

Considered by many to be the only true mixed-methods qualitative analysis software available on the market today, QDA Miner is an easy-to-use qualitative analysis software tool for coding, annotating, retrieving and analyzing small and large collections of documents, such as interview or focus-group transcripts, journal articles, web pages, social medias, patents and technical reports, as well as customer feedback and open-ended responses. The program can manage complex projects and analyze simultaneously unstructured text, images, as well as numerical and categorical data. It offers unique integration with advanced text-mining and quantitative content-analysis techniques via the WordStat add-on module, and it can also be combined with SimStat, a comprehensive statistical analysis software tool. QDA Miner is used by leading social-science researchers, market researchers, business-intelligence experts, pollsters, CRM professionals, crime analysts, paralegal professionals, historians, journalists and librarians.

QDA Miner has always provided unparalleled computer assistance for coding and analyzing text and image data and for report writing. The new version 4 continues this trend by implementing two innovative text search tools based on machine learning and information-retrieval techniques: 1) The cluster extraction and coding tool provide a very efficient working environment for faster and more consistent coding of large amount of short text items such as open-ended responses, customer feedbacks or Twitter feeds. 2) The code-similarity retrieval tool allows one to quickly identify text segments similar to previously coded items stored either in a current project or in a previously coded one.

Another major new feature is the geo-referencing and time-tagging tool for text and image data, allowing one to locate qualitative information both in space and time and to analyze the spatial distribution of qualitative evidence using dynamic maps or to analyze the time distribution of events using interactive timelines. This unique feature will be greatly appreciated by crime analysts, legal experts, historians, geographers and many other researchers.

QDA Miner also introduces numerous additional features and improvements to existing tools, such as improved importation of PDF files, allowing users to keep the original document structure, including tables and images, a more modern-looking user interface, new and improved visualization, hyperlinking and memoing tools, and more.. More detailed information and flash demonstrations of these new features can be found at:

http://www.provalisresearch.com/QDAMiner/QDAMiner4.html

For more information on QDA Miner or to download a fully functional trial version, see the QDA Miner product page at:

http://www.provalisresearch.com/QDAMiner/QDAMinerDesc.html

About Provalis Research

Founded in 1989, Provalis Research is a world-leading developer of analysis platforms with ground-breaking qualitative, quantitative and mixed methods analysis software. Provalis Research tools are used by more than 2,000 governments, international corporations, NGOs, universities, and independent research leaders worldwide.

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Normand Peladeau
Provalis Research
(514) 899-1672
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