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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 – and QDA Miner – our qualitative data analysis software – gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.

WordStat Features


  • Content analysis on short alphanumeric variable (up to 255 characters) and longer ANSI or RTF document (several mb).
  • Dictionary moderated lemmatization and stemming (English, French, Italian and Spanish; contact us for other languages).
  • Ability to call external text pre-processing EXE or DLL (sample English porter stemmer and n-grams transformation are include)
  • Optional exclusion of pronouns, conjunctions, etc, by the use of user-defined exclusion lists (or stop list).
  • Categorization of words or phrases using existing or user-defined dictionaries.
  • Word categorization based on Boolean (AND, OR, NOT) and proximity rules (NEAR, AFTER, BEFORE)
  • Word and phrase substitution and scoring using wildcards and weighting.
  • Frequency analysis on keywords, phrases, derived categories or concepts, or user-defined codes entered manually within a text.
  • Interactive development and easy maintenance of hierarchical dictionaries, taxonomies, or categorization schema.
  • Drag and drop editor for easy assignments of words, phrases into categories!
  • Ability to restrict the analysis to specific portions of a text or to exclude comments and annotations.
  • Ability to perform an analysis on a random sample of cases.
  • Integrated spell-checking with support for different languages such as English, French, Spanish, etc.
  • Integrated thesaurus (English only) to assist the creation of taxonomies and comprehensive categorization schemas.
  • Powerful case filtering on any numeric or alphanumeric field and on code occurrence (with AND, OR, and NOT boolean operators)
  • Prints presentation quality tables
  • Imports MS Word, WordPerfect, RTF and HTML.
  • Exports any table to Excel, ASCII, Tab separated or comma separated value files, or HTML files.
  • Flexible keyword highlighting (the text editor can display all categories using different colors).


  • Univariate word frequency analysis (word or category count and record occurrence).
  • Word x word co-occurrence matrix.
  • Word x case data matrix.
  • Integrated multidimensional scaling with 2D and 3D maps.
  • Proximity plot.


  • Topic modeling tool automatically extract topics by applying factor analysis on word x segment matrices.
  • Vocabulary finder extracts technical terms, product and company names as well as common misspellings.
  • Pattern based named-entity extraction.
  • Phrase finder allows one to easily identify recurring phrases and expressions


  • Ability to create norm files based on frequency analysis of words or content categories.
  • Comparison of obtained frequencies to previously saved norm files.


  • A powerful keyword retrieval function allows identification of text units (documents, paragraph or sentences) containing one keyword or a combination of keywords with optional filtering of cases.
  • Ability to attach QDA Miner codes to retrieved segments.
  • Retrieved segments may be exported to disk in tabular format (Excel or delimited text files) or as text reports (Rich Text Format).


  • Integrated clustering and dendrogram display of keyword co-occurrence.
  • First- and second-order proximity analysis.
  • Proximity plot to easily identify all keywords that co-occurs with a target keyword.
  • 2D and 3D multidimensional scaling on either joint frequency or co-occurrence of words or categories.
  • Flexible keyword co-occurrence criteria (within a case, a sentence, a paragraph, a window of n words, a user-defined segment) as well as clustering methods (first- and second-order proximity, choice of similarity measures).
  • Easy text retrieval from dendrogram or proximity plots.


  • Hierarchical clustering, multidimensional scaling and proximity plot may be used to explore the similarity between documents or cases.


  • Can perform univariate frequency analysis and crosstabulation on information stored in several alphanumeric fields (memo or string variables).
  • Comparison of keyword occurrence between different fields.
  • Computes inter-raters agreement measures (pct. of agreement, Cohen’s Kappa, Scott’s Pi, Krippendorff’s R and r-bar, free marginal) based on codes manually entered in different variables.


  • Bivariate comparison between any textual field and any nominal or ordinal variable (such as the sex of the respondent, specific subgroups, years of publication, etc.).
  • Choice between 11 different association measures to assess the relationship between word occurrence and nominal or ordinal variables (Chi-square, Likelihood ratio, Tau-a, Tau-b, Tau-c, symmetric Somers’ D, asymmetric Somers’ Dxy and Dyx, Gamma, Person’s R, Spearman’s Rho)
  • Computation statistics on either absolute or relative frequency
  • Ability to sort matrix in alphabetic order of words, by word frequency or word occurrence, on the obtained statistics or on its probability.
  • Visually compare items between subgroups using bar charts and line charts.
  • Correspondence analysis (statistics, 2D & 3D joint plots). This feature is accessible from the crosstab page and allows one to see graphically the relationship between nominal variables and codes resulting from a content analysis.
  • Heatmap plot (with dual-clustering of keywords and variables)


  • Machine learning algorithms (Naive Bayes and K-Nearest Neighbors) for document classification.
  • Flexible feature selection for automatic selection of best subsets of attributes.
  • Numerous validation methods (leave-but-one, n-fold crossvalidation, split sample).
  • Experimentation module allows easy comparison of predictive models and fine-tuning of classification models.
  • Classification models may be saved to disk and applied later using either a standalone document classification utility program, a command line program or a programming library . Note: The command line and the programming library are part of WordStat Software Developer’s kit (SDK) which is sold separately.


  • Ability to display a KWIC table to examine the textual context of a word, word pattern, or category.
  • Ability to sort the table on any independent (numeric) variables.
  • Ability to jump from a KWIC keyword to the textual variable in order to view or edit the original text.
  • KWIC list can be saved in data files for further processing.
  • Customizable KWIC display (paragraph, sentence or user defined segment).
  • Concordance report (displays all hits as a list of paragraphs, sentences or user defined segments)


  • Alphanumeric variables can be stored in the same file as all other numeric variables.
  • Variable selection, statistical analysis and content analysis are performed within the same application program.
  • Matrix outputs are automatically added to existing statistical outputs.
  • New variables representing occurrence of words, keywords or concepts can be added to the existing data file or exported to a new data file in order to be submitted to further statistical analysis (such as cluster analysis on words or cases, principal coordinate analysis, correspondence analysis, multiple regression, etc.).
  • Data can be imported from and exported to different file format including dBase, Paradox, Excel, Quattro Pro, Lotus 1-2-3, SPSS for DOS, SPSS for Windows, comma or tab separated text files, etc.
  • Ability to perform numeric and alphanumeric transformation or to apply filters on records of the data file to restrict the analysis to specific subgroups. .



  • Dictionary building assistant to find related words (synonyms, antonyms, holonyms, meronyms, hypernyms, hyponyms) in aWordNet based thesaurus (English only). (100,000 synonyms, 120,000 root words)
  • WS Document Classifier, a small standalone application to apply previously saved categorization and classification models to external documents.
  • WSTOOLS – Utility program to easily import documents of any size into Simstat database files.
    • Various file formats may be directly imported such as:
      • Plain text (with optional DOS ASCII to Windows ANSI conversion)
      • HTML (with or without removal of HTML tags)
      • RTF
      • MS Word
      • WordPerfect
      • Adobe PDF
    • Optional removal of leading and trailing spaced and hard returns.
    • Extraction of numeric and alphanumeric variables from documents.
    • Extraction options may be saved on disk and later retrieved.
    • Documents may be stored as plain ANSI text or as RTF documents.




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