June 7, 2017


Word StatWord Stat for StataQDA MinerProvalis NEWS

NOU! A aparut WordStat8!

WordStat 8 – flexibilitate crescuta, performante si precizie imbunatatite, extinderea gamei de utilizare.

Acces la tehnici avansate de analiza a textului, atat pentru novici cat si pentru experti.

De acum WordStat ruleaza atat ca program de sine statator cat si ca instrument apelabil din aplicatiile de textmining si analiza statistica QDA Miner, SimStat si Stata™


  • import direct din numeroase surse (MS Word, MS Excel, Gmail, Twitter, Adobe PDF, Survey Monkey, RSS etc. etc.)
  • o noua interfata (Explorer) accesibila si “prietenoasa” cu cei acre acum descopera analiza de text
  • “enriched topic modelling” – ofera sugestii, exceptii si corectura automata
  • grafice imbunatatite
  • tehnica de recunoastere a textului imbunatatita
  • suport pt scripturi in Python
  • analiza emoji si emoticoane (!)

Ceerti si descarcati versiunea trial de pe siteul producatorului

Va stam la dispozitie cu cotatii de pret prompte si avatajoase!



WordStat is a flexible and easy-to-use text analysis software – whether you need text mining tools for fast extraction of themes and trends, or careful and precise measurement with state-of-the-art quantitative content analysis tools. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

What it is used for?

WordStat can be used by anyone who needs to quickly extract and analyze information from large amounts of documents. Our content analysis and text mining software is used for:

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


Content Analysis Tools Powerful CONTENT ANALYSIS AND TEXT MINING SOFTWARE for handling large amounts of unstructured information. WordStat can process up to 20 million words per minute and identify all references to user-defined concepts using categorization dictionaries.
Text Mining and Visualization Tools Integrated EXPLORATORY TEXT MINING AND VISUALIZATION TOOLS such as clustering, multidimensional scaling, proximity plots, and more, to quickly extract themes and automatically identify patterns.
Unstructured text with structured data RELATES UNSTRUCTURED TEXT WITH STRUCTURED DATA such as dates, numbers or categorical data for identifying temporal trends or differences between subgroups or for assessing relationship with ratings or other kinds of categorical or numerical data.
hierarchical content analysis dictionaries Use existing or create your own HIERARCHICAL CONTENT ANALYSIS DICTIONARIES OR TAXONOMIES composed of words, word patterns, phrases as well as proximity rules (such as NEAR, AFTER, BEFORE) for achieving precise measurement of concepts.
Computer assistance for dictionary building Truly unique COMPUTER ASSISTANCE FOR DICTIONARY BUILDING with tools for extracting common phrases and technical terms and for quickly identifying in your text collection, misspellings, synonyms, antonyms and related words.
keyword-in-context and keyword retrieval tools One click access to KEYWORD-IN-CONTEXT AND KEYWORD RETRIEVAL TOOLS for easy identification and coding of relevant text segments, validation of content analysis dictionaries, word-sense disambiguation or for drilling down to the source documents.
qualitative coding tool Seamless integration with a state of the art QUALITATIVE CODING TOOL (QDA Miner), allows more precise exploration of data or more in-depth analysis of specific documents or extracted text segments when needed.
Machine Learning for automatic document classification MACHINE LEARNING FOR AUTOMATIC DOCUMENT CLASSIFICATION using Naive Bayes and K-Nearest Neighbours algorithms with automatic features selection and validation tools. Classification models may then be saved on disk and reapplied on new data.
Importation and exportation of database Easy IMPORTATION of databases, spreadsheets and documents (including PDF and HTML)  as well as EXPORTATION of text analysis results to common industry file formats (Excel, SPSS, ASCII, HTML, XML, MS Word) and graphs (PNG, BMP and JPEG).
WordStat-GIS-Viewer-2 GIS MAPPING module to create interactive plots of data points, THEMATIC MAPS, and HEATMAPS, along with a GEOCODING web service for transforming location names, postal codes and IP addresses into latitude and longitudes.


Stata is a complete, integrated statistical software package created by StataCorp LP (www.stata.com). It provides a wide range of statistical analysis, data management, and graphics. Released in June 2013, version 13 added many new features, including a long string data type allowing one to store along with numerical and categorical data, documents up to 2 billion characters. One could thus create a statistical database with journal abstracts, news transcripts, patents, incident reports, customer feedbacks, interviews and so on.

WordStat for Stata was created to allow Stata users running under Windows, to apply text analytics techniques on any string variables stored in a Stata data file. WordStat combines natural language processing, content analysis and statistical techniques to quickly extract topics, patterns and relationships in large amount of text. It can process millions of words in seconds and compare extracted themes across any other numerical, categorical or date variables in the Stata file.

WordStat for Stata este un produs al Provalis research dedicat utilizatorilor de Stata. Toate informatiile legate de WordStat for Stata le gasiti aici.


NEW in QDA Miner 6:

1. New Grid view mode for coding short responses

While appropriate for coding long documents, the standard document/case centric view of QDA Miner was less suited for coding short text responses such as response to open-ended questions or short comments. Now, QDA Miner 6 introduces a new grid view mode that provides a convenient and very efficient way to code this kind of text data. It is useful for everyone coding any type of open-ended comments, including surveys, employee comments, customer comments and allows one to quickly identify trends in a survey or major support issues that need to be addressed. It includes features such as:

  • Drag-and-drop coding and annotation.
  • Filtering of responses using text search expressions with Boolean operators
  • Filtering of responses based on the number of codes (uncoded, coded, more than n codes, etc.) as well as on the presence or absence of specific codes.
  • Sorting of rows either alphabetically, on text length, number of codes, or case number.
  • Displays the number and percentage of coded responses,
  • Computation of word clouds and word frequency analysis on text currently displayed in the grid.

QDA-Miner: Web Survey

2. Quotation Matrices

The quotation matrix allows you to create a large grid containing all coded text segments and/or comments where each cell represents the intersection of a specific code with either a specific case or a value of a categorical or numerical variable (age group, gender, source, etc.). Such a joint display provides a compact view of coded material ideal for reviewing work done by coders. More easily identify patterns, creating dense summaries of results, etc. This matrix may be created from the new RETRIEVAL | QUOTATION MATRIX command to obtain a codes x cases quotation matrix or from the ANALYSIS | CODING BY VARIABLES command for displaying coded materials by all values of a variable. It supports the following features:

  • Displays either all comment types or specific ones based on subject, speaker etc.
  • Text in each cell can be edited in with a rich text editor (font style, size and color, paragraph formatting, etc.)
  • Multiple memos can be attached to individual cells.
  • Rows and columns may be transposed.
  • The matrix can be exported to disk in various formats, including Excel, CSV, TSV and a new PGRD format allowing one to review and edit the table outside of QDA Miner using a free grid viewer/editor.

QDA Miner - Quotation Matrix

3. Enhanced annotation feature

It is now possible to attach up to six types of comments to a single code mark. Annotations may serve different purposes such as formulating hypothesis, communicating concerns with team members, summarizing, etc. You are no longer restricted to a single comment type. The removal of such limitation and the introduction of the quotation matrix feature (see above) offers new possibilities for generating condense view of summaries, concerns, hypotheses, etc. It gives you much more flexibility on how to instruct, explain codes, pose, and answer questions.

QDA Miner - Comments

4. Word Frequency Analysis and Word Cloud

Interactive word clouds and word frequency tables can now be obtained on any document variable or on results of retrieval operations (text, coding, section or keyword retrieval) as well as for a single document or for text displayed in the new grid view. One may tailor the word cloud (font, color, shape, etc.), customize stop words lists and perform text searches from it or from the associated word frequency table.

QDA Miner - Word frequency analysis QDA Miner - Word frequency analysis 2

5. Importation of Nexis UNI and Factiva Files

It is now possible to import news transcripts from the LexisNexis and Factiva output files. After selecting one or multiple .DOCX or RTF files obtained from those services, QDA Miner will extract and store in separate variables the title and body of the news transcript, its source, the publication date, and other relevant information. Such a feature should prove useful for reputation management, brand management, crisis communication, media framing analysis, comparative media studies, etc.

QDA Miner can import LexisNexis QDA Miner can import factiva

6. Improved Importation of Excel, CSV and TSV files.

When importing files from Excel, CSV or TSV files a new wizard dialog box will allow you to select variables, rename them, import variable description, and perform batch data type conversions This gives you greater flexibility to set up your analysis, make it more precise and start it more quickly, saving time and resources.

7. Deviation Table

The CODING BY VARIABLES feature now offers the possibility to produce a deviation table that allows one to obtain a list of codes most or least characteristic of different values of an independent variable as compared to other classes of this variable.

QDA Miner - Deviation Table

8. Export Results to Tableau Software

One can now export results to Tableau Software allowing one to use its advanced interactive data visualization tools. This feature is available from the CODING FREQUENCY and the CODING BY VARIABLES dialog boxes.

QDA miner can export to Tableau

9. Numerical Transformation

A new numerical transformation dialog box allows you to compute numerical variables from other variables with up to 50 transformation functions including trigonometric, statistical, random number functions. Conditional transformation can also be performed using an IF-THEN-ELSE logical structure.

QDA Miner - Numerical transformation

10. Binning

A binning feature can now be used to transform continuous values into a smaller number of distinct categories. It may be used to reduce the effect of numerical outliers, abnormal distributions, or convert a continuous numerical variable into an ordinal one. It is especially useful for creating graphic displays of comparisons when the number of distinct values in the numerical variable is too high.

QDA Miner - Binning

11. Support of Missing Values

You can now associate to numerical, categorical, and short string variables up to three values that will be treated as missing data.

12. Silhouette plot

A new silhouette plot feature has been added to the hierarchical cluster analysis, allowing one to assess the quality of the cluster solution and identify potential misclassified items.

QDA Miner - Silhouette plot

13. Date transformation

Date and date and time variables can now be used to create other categorical or numerical variables such as months, days or weekdays, months, years, etc.

14. Improved code filtering feature.

The code filtering feature may now be used to filter cases based on the presence, the absence of specific codes or combinations of codes.

QDA Miner - Code filtering

15. Donut, Radar, 100% Stacked Bar and Area Charts.

A donut chart can now be used to display relative codes or class frequencies (CODING FREQUENCY and VARIABLE STATISTICS dialog boxes). The charting feature of the CODING BY VARIABLES dialog box also adds the possibility to create a radar chart, a 100% stacked bar chart as well as two types of stacked area charts.

QDA Miner - Donut chart QDA Miner - Stacked bar QDA Miner - Area Chart QDA Miner - Radar chart

16. Ordering of series in comparison charts.

The relative position of a series of comparisons charts created from the CODING BY VARIABLES dialog box may now be manually adjusted, allowing you to achieve more appealing or revealing visualizations.

QDA Miner - Reorder Series

17. Color Coding of items in Correspondence Plot

Color gradients may now be used to represent the position of specific words or variable classes on the third (depth) dimension or 2D as well as 3D correspondence plot. Up to four colors may be chosen to create those gradients.

QDA Miner - color coding items correspondence plot

18. Improved Bubble Chart

It is now possible to transpose rows and columns of bubble charts and finely adjust the size of the bubbles.

 QDA Miner - Size Bubble Chart

19. Link Analysis Buffer

A link analysis buffer allows one to move back to previous link diagrams and then forward.

20. New Table Format and Table Editor

A new proprietary table format (*.pgrd) has been added to the exportation of tables to disk, allowing one to easily edit and annotate tables produced by QDA Miner. A free standalone table viewer may also be downloaded from our web site, allowing anyone to view, edit and annotate saved tables.

21. Numerous Additional Improvements

Several new options and interface improvements have been made to existing dialog boxes (code color selection, graphic options, etc.), management and analysis features.

Who uses QDA Miner?

QDA Miner qualitative data analysis software can be used by anyone who needs to code text or pictures, annotate, search, explore and extract information from small or large collections of documents and images, including:

  • Researchers in social sciences, medicine, and psychology
  • Sociologists, political scientists and ethnographers
  • Business intelligence analysts, market researchers, pollsters, and CRM professionals
  • Crime analysts, fraud detection experts, lawyers, and paralegal professionals
  • Journalists, historians and research assistants
  • Document management specialists and librarians

NOU! A aparut QDA Miner 6

WHAT’S NEW IN VERSION 6.0 1. New Grid view mode for coding short responses 2. Quotation Matrices 3. Enhanced annotation feature 4. Word Frequency Analysis and Word Cloud 5. Importation of Nexis UNI and Factiva Files 6. Improved Importation of Excel, CSV and TSV files. 7. Deviation Table 8. Export Results to Tableau Software 9. Read more about NOU! A aparut QDA Miner 6[…]

A fost lansat noul site Provalis Research ”Text Analytics for Everyone”

Compania Provalis Research, prodcatorul de software pentru analiza de text si date WordStat si QDA Miner, are un nou site, adaptat unei utilizari mai usoare si dedicat sectiunilor destinate intelegerii analizei text si aplicabilitatii acesteia: Resurse de studiu AICI

WS8 – New Deviation Table

WordStat 8 New Deviation Table Instantly Compares Words/Phrases Used by Different Variables We have introduced a special new feature to WordStat 8. This is a brand new feature that we believe you will find quite useful. We are calling it the Deviation Table. It allows you to see which words, phrases or topics are used Read more about WS8 – New Deviation Table[…]


Webinar on WordStat 8 New Features Marti 27 noiembrie 2018, Ora: 7 PM (East European Time) To help you better understand and locate the new features and capabilities of WordStat 8, we will be holding a FREE webinar. Please go to our website and register for the webinar: Webinar Registration. The webinar will last about Read more about CONNECT TO TEXT ANALYTICS – Nov2018 Free Webinar[…]

NOU! A aparut WordStat8 de la ProvalisResearch!

NOU! A aparut WordStat8! WordStat 8 – flexibilitate crescuta, performante si precizie imbunatatite, extinderea gamei de utilizare. Acces la tehnici avansate de analiza a textului, atat pentru novici cat si pentru experti. De acum WordStat ruleaza atat ca program de sine statator, cat si ca instrument apelabil din aplicatiile de textmining si analiza statistica QDA Read more about NOU! A aparut WordStat8 de la ProvalisResearch![…]


Provalis Research is holding a three-day training workshop for QDA Miner 5 and WordStat 7 in Montreal, Quebec, Canada. The training will be held from August 16th to August 18, 2017 at the Provalis Research head office: 1255 Robert Bourassa Street, Suite 1604, Montreal, QC H3B 3X3, Canada. Read more


NOU: QDA Miner 5 de la Provalis Research

A apărut vrsiunea 5 a puternicului soft de analiză calitativă și data/text-mining QDA Miner. CE ESTE NOU? Version 5.0 gives you new ways to access and analyze unstructured data. You can easily import web surveys, social media, email providers and reference management tools. The new GIS mapping tool allows you to relate geographic information in Read more about NOU: QDA Miner 5 de la Provalis Research[…]