December 12, 2011 - Provalis Research releases new version 4.0 of QDA Miner
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August 30, 2010 - Provalis Research announces the release of a WordStat 6.1
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April 21, 2010 - Provalis Research announces the relese of WordStat 6.
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May 1st , 2009 - Provalis Research announces the availability of a Spanish version of QDA Miner
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You need to extract information from large amounts of documents, customers feedbacks, interview transcripts or open-ended responses?

Whether you need a text mining tool for fast extraction of themes and trends or achieve careful and precise measurement with a state-of-the-art quantitative content analysis method, WordStat provides a unique combination of both approaches in a flexible and easy to use text analysis software.

Its seamless integration with Simstat, a statistical data analysis tool and QDA Miner, a qualitative data analysis software gives you unprecedented flexibility for analyzing text and relating its content to structured information including numerical and categorical data.

• Content analysis of open-ended responses, interview of focus group transcripts.
  
• Business intelligence &competitive analysis of web sites. 
  
• Information extraction and knowledge discovery from    incident reports, customer complaints, messages.
• Analysis of news coverage or scientific literature.   
• Automatic tagging and classification of documents.   
  
• Taxonomy development and validation.   
  
• Fraud detection, authorship attribution, patent analysis   
  
• And more…   

Main Benefits

WordStat offers, in a single software environment…

    ...powerful text mining and content analysis tools to analyze
       large amounts of unstructured information;

    ...integrated charting, visualization and report features;

    ...a total control over the analysis process and enough
       closeness to the data to achieve the perfect balance
       between analysis efficiency and precision in the results;

    ...analytical supports for important decision making and timely
       responses for your information needs.

   Key features

• Integrated text mining analysis and visualization tools (clustering, multidimensional scaling, heatmaps, correspondence analysis)
• Hierarchical categorization dictionary or taxonomy  supporting words, word patterns, phrases and proximity rules.
• Vocabulary and phrase finder for extraction of technical  terms, recurring ideas and themes.
• Keyword-in-context and keyword retrieval tools for easy  identification of relevant text segments.
• Machine Learning algorithm for automatic document  classification (Naive Bayes and K-Nearest Neighbors) with automatic features selection and validation tools.
• Importation of documents and exportation of data, tables and graphs support industry standard formats.

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