Distributore Esclusivo
ULTIMO RILASCIO: Giugno 2021

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 can be used by anyone who needs to quickly extract and analyse information from large amounts of documents. Provalis Research content analysis and text mining software can be used in many applications such as analysis of open-ended responses, business intelligence, content analysis of news coverage, fraud detection and more. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprehensive 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

 

WORDSTAT CONTENT ANALYSIS DICTIONARIES

Many WordStat users develop their own content analysis dictionaries. Such dictionaries are usually customized to the type of data being analyzed and to the variables that need to be measured. However, having access to existing dictionaries from others authors may be useful in many ways. It allows the analyst to easily assess other dimensions and quickly get a different perspective on his text data. It also makes his results comparable to those published in other studies. Such dictionaries may also represent a great source of inspiration for developing one’s own dictionary.

 

WORDSTAT SOFTWARE DEVELOPMENT KIT (SDK)

The WordStat software development kit (SDK) provides a solution , allowing models developed with the WordStat desktop tool to be used in other applications written in other computer languages such as C++, Delphi, C#, VB.Net and so on.

 

An example of such integration would be the application of a categorization model on a company data collection system of customer feedback in order to automatically measure references to specific topics and to classify those feedbacks as either positive, negative or neutral.

 

With WordStat, Data Analysts can quickly extract valuable text analytics results from large collections of documents such as customer feedback, emails, open-ended responses, interview transcripts, incident reports, patents, legal documents, blogs, websites, and more. Here is a list of content analysis and text mining features of WordStat:

 

IMPORT FROM MANY SOURCES 

 

WordStat allows you to directly import content in multi-languages from many sources:

Import documents: Word, PDF, HTML, PowerPoint, RTF, TXT, XPS, ePUB, ODT, WordPerfect.

Import data files: Excel, CSV, TSV, Access

Import from statistical software: Stata, SPSS

Import from social media: Facebook, Twitter, Reddit, YouTube, RSS

Import from emails: Outlook, Gmail, MBox

Import from web surveys: Qualtrics, SurveyMonkey, SurveyGizmo, QuestionPro, Voxco, triple-s

Import from reference management tools: Endnote, Mendeley, Zotero, RIS

Import graphics: BMP, WMF, JPG, GIF, PNG. Automatically extract any information associated with those images such as geographic location, title, description, authors, comments, etc. and transform those into variables

Import from XML databases

ODBC database connection is available.

Import projects from qualitative software: NVivo, Atlas.ti, Qdpx files

Import and analyze multi-language documents including right-to-left languages

Monitor a specific folder, and automatically import any documents and images stored in this folder or monitor changes to the original source file or online services.

 

Import documents from many sources

 

ORGANISE YOUR DATA

 

Several features allow you to easily organize your data in ways that make your analysis process straightforward:

Quickly group, label, sort, add, delete documents or find duplicates.

Assign variables to your documents manually or automatically using the Document Conversion Wizard, ie: date, author, or demographic data such as age, gender, or location.

Easily reorder, add, delete, edit, and recode variables.

Filter cases based on variable values.

 

QUICKY EXTRACT MEANING USING EXPLORER MODE 

 

Quickly and easily extract meaning from large amounts of text data using Explorer mode, specially made for those with little text mining experience.

Identify the most frequent words, phrases, and extract the most salient topics in your documents with the topic modeling tool. At any time, you can switch to Expert mode which gives you access to all WordStat’s features.

 

Documents conversion wizard

EXPLORE DOCUMENT CONTENT USING TEXT MINING 

 

In a few seconds, explore the content of large amounts of unstructured data and extract insightful information:

Extract the most frequent words, phrases, expressions.

Quickly extract themes using clustering or 2D and 3D multidimensional scaling on either words or phrases.

Easily identify all keywords that co-occur with a target keyword by using the Proximity Plot.

Explore relationships among words or concepts with the Link Analysis feature.

Fine-tune the analysis by applying the keyword co-occurrence criterion (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).

Explore the similarity between concepts or documents using hierarchical clustering, multidimensional scaling, link analysis, and proximity plot.

 

WordStat: cluster analysis on text data WordStat: proximity plot

USE TOPIC MODELING TO EXTRACT THE MOST SALIENT TOPICS 

 

Get a quick overview of the most salient topics from very large text collections using state-of-the-art automatic topic extraction by applying a combination of natural language processing and statistical analysis (NNMF or factor analysis) not only on words but also on phrases and related words (including misspellings).

While in hierarchical cluster analysis, a word may only appear in one cluster, topic modeling may result in a word being associated with more than one topic, a characteristic that more realistically represents the polysemous nature of some words as well as the multiplicity of contexts of word usages.

 

WordStat: topic modeling

 

EXPLORE CONNECTIONS 

 

Explore connections among words or concepts using a network graph. Detect underlying patterns and structures of co-occurrences using three layout types: multidimensional scaling, a force-based graph, and a circular layout.

Graphs are interactive and may be used to explore relationships and to retrieve text segments associated with specific connections.

 

WordStat: link analysis

 

RELATE TEXT WITH STRUCTURED DATA 

 

Explore relationships between unstructured text and structured data:

Identify temporal trends, differences between subgroups, or assess relationships with ratings or other kinds of categorical or numerical data with statistical and graphical tools (deviation table, correspondence analysis, heatmaps, bubble charts, etc.).

Assess the relationship between word occurrence and nominal or ordinal variables using different association measures: 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.

 

WordStat: crosstab to analyze the relationship between structured and unstructured data 

WordStat: correspondance analysis

 

CATEOGORIZE YOUR TEXT DATA USING DICTIONARIES 

 

Achieve full-text analysis automation using existing dictionaries or create your own categorization model of words and phrases.

In the dictionary, one can implement Boolean (AND, OR, NOT) and proximity rules (NEAR, AFTER, BEFORE) and use Regular Expression formulas to quickly extract specific information from text data.

Dictionary moderated lemmatization and stemming are available in several languages and an automatic word substitution option allows you to substitute several words with a target keyword. A user-defined list of stop words is available in several languages to avoid nonessential frequent words such as he, she, it, etc in the analysis.

 

WordStat: categorization dictionary

GET UNIQUE ASSISTANCE FOR DICTIONARY BUILDING 

 

Get truly unique computer assistance for taxonomy building with tools for extracting common phrases and technical terms and for quickly identifying in your text collection misspellings and related words (synonyms, antonyms, holonyms, meronyms, hypernyms, hyponyms).

 

WordStat: unique assistance for categorization dictionary building

AUTOMATICALLY CLASSIFY YOUR TEXT DATA USING MACHINE LEARNING 

 

Develop and optimize automatic document classification models using Naïve Bayes and K-Nearest Neighbours. There are numerous validation methods that users can select: leave-but-one, n-fold cross-validation, split sample. An experimentation module can be used to easily compare predictive models and fine-tune classification models.

Classification models may be saved to disk and applied later in QDA Miner, in a standalone document classification utility program, a command-line program or a programming library.

 

WordStat: Automatically classify your text data using machine learning

 

RETURN TO THE SOURCE DOCUMENT IN ONE CLICK 

 

Verify or dig deeper into your analysis by going back to the text from almost any feature, chart, or graph using Keyword Retrieval or Keyword-in-Context to retrieve sentences, paragraphs, or whole documents. This is particularly helpful when building taxonomies or for word-sense disambiguation.

The retrieved text segments can be sorted by keyword or any independent variable. You can attach QDA Miner codes to retrieved segments or export them to disk in tabular format (Excel, CSV, etc.) or as text reports (MS Word, RTF, etc.).

 

WordStat: Keywords in Context (KWIC)

 

PERFORM QUALITATIVE CODING

 

Combine WordStat with a state-of-the-art qualitative coding tool (QDA Miner), for more precise exploration of data or a more in-depth analysis of specific documents or extracted text segments when needed.

 

Perform qualitative coding from WordStat

TRANSORM UNSTRUCTURED TEXT INTO INTERACTIVE MAPS (GIS MAPPING) 

 

Relate unstructured text data with geographic information and 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.

 

WordStat: GIS Viewer

AUTOMATICALLY EXTRACT NAMENS AND MISSPELLINGS 

 

Automatically extract named entities (names, technical terms, product and company names) that can be added to the categorization dictionary using an easy drag-and-drop-operation.

Misspellings and unknown words are automatically extracted and matched with existing entries in the user dictionary and may be quickly added to the dictionary.

 

WordStat: Extract named entities and misspellings

 

EXPORT RESULTS 

 

Export text analysis results to common industry file formats such as Excel, SPSS, ASCII, HTML, XML, MS Word, to popular statistical analysis tools such as SPSS and STATA and to graphs such as PNG, BMP, and JPEG.

 

WordStat: proximity plot

 

TRANSFORM TEST USING PYTHON SCRIPTS 

 

Use Python script and its full range of open-source libraries to preprocess or transform text documents for analysis in WordStat.

 

 

FULL UNICODE SUPPORT

 

We always try to select language-independent text analytics techniques. This has allowed users to analyze text data in more than 50 languages. However, to analyze languages not supported by their default Windows installation, the user needed to change some Windows settings. And while it was possible to analyze datasets in multiple languages, some combinations of languages were simply not possible.  The new Unicode version of WordStat allows one to analyze any of these without any setting changes as well as new languages previously not supported such as Chinese, Japanese, or Thai. Word segmentation routines for the previous three Asian languages have also been added.

 

 

AUTOMATING SPELLING CORRECTION

A new spell-checking engine has been written from scratch to achieve much faster and more accurate spelling corrections, allowing the implementation of an automatic spelling correction feature with minimal impact on the existing text processing speed of WordStat. The intelligent spelling correction can even correct the spelling of unknown terms such as technical vocabularies, proper nouns, etc. Results can be automatically saved to the substitution list for revision and corrections.

 

INTERACTIVE CO-OCCURRENCE MATRIX

 

A new interactive matrix feature has been added to the co-occurrences page allowing one to focus on specific co-occurrences. The main results consist of a table displaying a choice from various co-occurrence statistics. Such matrix is also highly interactive allowing one to transform specific rows into new columns or vice versa using simple drag-and-drop operations. A charting panel on the left also allows one to assess the distribution of a specific co-occurrence across other variables. One may also obtain a quick view of all text segments associated with a specific co-occurrence. This new feature of WordStat may also be called from the frequency list by selecting target items (words or content categories) that should be displayed as columns, right-clicking, and selecting Co-Occurrence Matrix.

 

 

BATCH PROCESSING OF TOPIC MODELS

 

Choosing the number of topics to extract using topic modeling techniques remains a question for which there is, to our knowledge, no definitive answer. We may even raise doubts as to whether such an optimal number exists. In fact, one may even suggest that information obtained using different settings may well serve different purposes or reveal different aspects of a reality. In such a context of uncertainty, researchers often want to compare various solutions. The new batch processing feature allows one to compute multiple topic models by systematically varying the number of topics to extract, and for the probabilistic method (e.g. NNMF), to perform several runs using the same settings in order to assess the stability of the results. All topic model solutions are temporarily aggregated in the report manager allowing one to compare solutions obtained in multiple runs using different settings.

 

MORE POWERFUL PROXIMITY RULES

 

The number of conditions in proximity rules has been increased from four to a maximum of twenty conditions. If you believe it is not enough, let us know.

 

 

 

NEW OPTION FOR CLEANING DATA

 

The preprocessing page now includes options to automatically remove URLs from text messages as well as speakers’ designations in news and interview transcripts.

 

IMPROVED BUBBLE CHART

 

It is now possible to transpose rows and columns of bubble charts.

 

 

FASTER AND MORE PRECISE TOPIC ENRICHMENT

 

WordStat goes beyond typical topic modeling, offering ‘a unique topic enrichment feature that identifies associated phrases, potential exceptions, and misspellings. It also generates relevant topic names automatically. With version 9, this topic enrichment feature is now twice as fast as before and performs better word-sense disambiguation for a more accurate list of exceptions.  It also provides better suggestions for spelling corrections.

 

IMPROVED SPEED AND ACCURACY OF EXISTING SPELLING CORRECTIONS

 

The existing spelling correction feature is now up to 30x faster, requiring only a second or two to suggest spell corrections for tens of thousands of unknown words.

 

INTEGRATION OF R AND PHYTON PRE-AND POST-PROCESSING SCRIPTS

 

In 2018, Provalis Research introduced the possibility to create Python preprocessing scripts to WordStat 8. Version 9.0 extends this capability by offering the possibility to create preprocessing scripts in R as well. More importantly, it is now possible to create post-processing scripts in those two programming languages allowing one to perform custom analysis on the original or transformed text data or on quantified results obtained through content analysis on those documents. Such a feature offers endless possibilities to extend the features of WordStat such as implementing new machine learning algorithms, advanced statistical modeling techniques, or custom data transformation. Sample scripts have been included to compute text readability metrics, detect languages, apply other topic modeling techniques (LDA or STM) or create predictive models using machine learning (SVM, kNN, etc.).

 

 

 

 

 

CROSSTABULATION WITH CHARTING PANELS AND FILTERING

 

The crosstab page now includes a chart panel allowing one to quickly plot the distribution of selected rows of the crosstabulation table for the values of the currently selected variable or any other variable. A filtering list box also allows one to analyze such distributions for a single value or a set of values of the selected variable.

 

IMPORTATION OF NEXIS UNI AND FACTIVA FILES

 

Introduced in QDA Miner 6.0 in 2020, it is now also possible in WordStat to import news transcripts from the LexisNexis and Factiva output files. After selecting one or multiple .DOCX or RTF files obtained from those services, WordStat 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

 

CREATE WORD CLOUDS ON KEYWORD RETRIEVALS & KWIC RESULTS

 

Interactive word clouds and word frequency tables can now be obtained directly on keyword retrieval and keyword-in-context (KWIC) results allowing one to quickly identify words associated with specific content categories, or those appearing, before, after a specific target item.

 

 

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

 

PREVIEW EFFECT OF WILDCARDS AND DICTIONARY INTERACTIONS

 

Using wildcards in a dictionary is quite powerful yet potentially troublesome since it could match items that you may not have thought of. For example, an entry like TAX* may allow you to match TAX, TAXES, TAXATION, but will also match words such as TAXI, TAXONOMY, TAXIDERMY, etc. Also, WordStat rules for matching items and preventing double-counting may also produce unexpected results caused by other entries in your categorization model. A new panel on the right of the exclusion and categorization pages allows you to easily identify new entries that would be matched using a *wildcard at the end of a word but also of possible conflicts with other entries in your dictionary.

 

 

COLORED ITEMS IN CORRESPONDENCE PLOT

 

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

 

QDA Miner - color coding items correspondence plot

LINK ANALYSIS BUFFER

 

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

 

NUMEROUS ADDITIONAL IMPROVEMENTS

 

Several additional options and interface improvements have been made to existing dialog boxes, graphics, data management, and data analysis features.

 

WordStat Perpetual Licence

 

1. OBJECT
Throughout the term of this Agreement and subject to its terms and conditions, Provalis Research Corp. (hereinafter “Provalis”) authorises CLIENT to use the Provalis proprietary computer program(s) identified in the relevant invoice, (hereinafter the “Software”) in consideration for the price mentioned in the relevant invoice.

 

2. OBJECT
The CLIENT will use the Software for the purposes described in Section 3.1 and will comply with the conditions described herein.

 

3. LICENCE

3.1 Licence
Subject to the terms and conditions expressed herein, Provalis hereby grants CLIENT a non-exclusive licence to use the Software, for the duration specified in the relevant invoice, in machine readable form, on up to two computers, provided that there is no chance it will be used simultaneously on more than one computer.

3.2 Software Ownership
CLIENT acknowledges that no right, title or interest, other than the right to use the Software in the manner described herein, is transferred by the present Agreement. CLIENT agrees that Provalis is and shall remain owner of all copyright, trade secret, patent, trademark and other proprietary rights in and to the Software. The technical procedures, processes, systems, methods of operation, and concepts which are embodied within the Software are trade secret information of Provalis and/or its licensor(s). This licence is not a sale of a copy of the Software and does not render CLIENT the owner of a copy of the Software.

3.3 Copying
CLIENT may not make copies of the Software, except those copies which are needed for backup purposes. CLIENT will advise its employees who are granted access to the Software of the restrictions upon duplication, reverse engineering, disclosure and use contained in this Agreement. CLIENT will be liable for any unauthorised copying, reverse engineering, disclosure and/or use by its employees or agents.

3.4 Prohibitions
The CLIENT shall not, without the express prior written consent of Provalis:
a) use the Software under any name other than that of CLIENT;
b) lease, rent, sell, pledge, convey, assign, sublicense, loan, distribute or otherwise transfer to any third party the Software, in whole or in part, or any copy thereof, or any derived works or adaptations based thereupon;
c) subject to what is allowed in Section 3.1, use the Software licensed under an Academic license in any manner to provide computer services to third parties;
d) transfer to any third party any of CLIENT’s rights under this Agreement or otherwise encumber or offer the Software as security; or
e) modify, translate, convert to another programming language, or prepare derived works or adaptations from the Software.
CLIENT shall not modify, dismantle, or decompile or allow anyone to modify, dismantle, or decompile the Software or any portion thereof in any possible way. CLIENT further agrees that it shall not use the Software to assist in the development or design of a computer program that is intended to provide substantially similar functionality as the Software. The Software shall not be used to develop, nor shall CLIENT market, any conversion utility or aid specific to the Software enabling or facilitating users to convert from the Software or a database created by using the software to an alternative software or alternative database not marketed by Provalis.

 

4. OBLIGATIONS OF CUSTOMER

4.1 Responsibility

4.1.1 Security
CLIENT shall be responsible for ensuring the security of the Software, as to physical and electronic intrusions. In particular, in order to protect the trade secrets included in the Software, CLIENT shall protect the areas of the CLIENT’s premises and computing infrastructure where the Software is installed or stored, with adequate security measures so as to prevent unauthorised persons from gaining access and restrict access to those persons having a need to access the Software.
4.1.2 Damage to Software
CLIENT shall be responsible for any damage to the Software.
4.1.3 Result
CLIENT acknowledges that Provalis shall have no control over the conditions under which CLIENT and its employees use the Software and CLIENT therefore agrees to assume the responsibility of the results obtained from the Software provided to CLIENT by Provalis.

 

5. NOTICES
Any notice, request, instruction, legal proceedings or other instrument to be given, served, or provided under this Agreement by either party shall be deemed given and received when in writing and delivered personally or five (5) days after being sent by certified or registered mail (postage prepaid) properly addressed to the intended recipient of Provalis or CLIENT, at the address of each as indicated in the header of this Agreement, provided that either party may change such address, only by written notice to the other party.

 

6. EXPRESS RIGHTS

6.1 Intellectual Property
Provalis warrants that it has the right to grant this licence to use the Software as contemplated hereunder. Subject to the limitations of Section 10, Provalis will indemnify CLIENT and hold CLIENT harmless against any damages awarded in a final judgement against CLIENT, arising out of any claim, by a third party, that the Software infringes or violates any copyright, trademark or trade secret rights of such third party, in Canada or the United States, provided that:
a) CLIENT notifies Provalis promptly in writing of any notice of any such claim;
b) CLIENT cooperates with Provalis in all reasonable respects in connection with the investigation and defence of any such claim;
c) CLIENT has not prejudiced Provalis position’s in any way, by, without limiting the generality of the foregoing, its admissions and/or declarations; and
d) Provalis has and retains at all time sole control of the defence of any action on any such claim and all negotiations for its settlement or compromise.
Should the Software become, or in Provalis’ opinion be likely to become, the subject of a claim of copyright, patent or 2 trademark infringement or trade secret misappropriation, in Canada or the United States, CLIENT will permit Provalis, at Provalis’ option and expense, either to:
i) procure for CLIENT the right to continue using the Software;
ii) replace or modify the same so that it becomes non-infringing; or
iii) terminate this licence, return to the CLIENT the price of the license minus linear (straight line) depreciation calculated monthly over:
– three (3) years from the date of the purchase of the Software, in the case of perpetual licenses,
– twelve (12) months from the date of the purchase of the Software, in the case of annual licenses,
and accept the return of the Software.
Notwithstanding anything herein to the contrary, however, Provalis shall have no obligation or liability to CLIENT under any provision of this Sub-Section if any copyright, patent or trademark infringement or trade secret misappropriation claim is based upon:
a) the use of other than a current unaltered release of Software if the infringement would have been avoided by the use of a current unaltered release of Software;
b) the combination, operation or use of any Software with any programs, software or equipment not provided by Provalis, if the infringement would have been avoided by the combination, operation or use of Software with other programs, software or equipment;
c) the use of the Software in other than the operating environment specified for it by Provalis if the infringement would have been avoided by use in the operating environment specified by Provalis;
d) the use of or access to the Software in a manner other than that for which it was furnished by Provalis; or
e) the use of any Software which has been modified by or for CLIENT in such a way as to cause it to become infringing.
6.2 Identification
CLIENT expressly agrees to allow Provalis to disclose the existence of the Agreement and the fact that CLIENT is a client of Provalis.

 

7. CONFIDENTIALITY

7.1 Confidential Information
CLIENT acknowledges that the Software as well as any technical information, design concepts, methods, processes, procedures, formulae, or algorithms contained therein constitute trade secrets, are given access to by Provalis to CLIENT in confidence, and contain proprietary and confidential information.
7.2 Nondisclosure
Each party shall use the same care to prevent disclosure of the confidential information of the other party to third parties as it employs to avoid disclosure, publication, or dissemination of its own information of a similar nature, but in no event less than a reasonable standard of care.
CLIENT further agrees that it will not, under any circumstances except as expressly authorised hereby, distribute or disseminate any information contained in or disclosed by the Software, including but not limited to any technical information, design concepts, methods, processes, procedures, formulae, or algorithms, to any person except to those of its employees and/or other users with a need-to-know and whose access is necessary for CLIENT’s use as set forth above. This does not prevent the user from communicating to third parties the results of processing data with the Software.
CLIENT will take appropriate action with such employees and/or other users, to inform them of the trade secret, proprietary and confidential nature of the Software, to obtain their compliance with the terms of this section and to have them accept in writing the confidentiality obligations contained herein or similar confidentiality obligations, of similar stringency. In the event that CLIENT, or any of its present or former employees and/or other users breaches the confidentiality obligations of this Agreement, CLIENT shall be jointly and severally liable to Provalis for any loss incurred by Provalis resulting directly or indirectly from such breach.
7.3 Relief
The Parties acknowledge and agree that the Software, as well as all other information in whatever medium disclosed to CLIENT hereunder are unique and commercially valuable and that any breach by a party of the terms of this Agreement with respect to protection against disclosure or distribution of such information would result in an irreparable and continuing injury to the other party, for which money damages would be inadequate. In the event of such a breach or anticipated breach by one party, the other party shall be entitled to immediate injunctive relief and to specifically enforce the terms of this Agreement, in addition to any other remedy to which such other party may be entitled at law or in equity.

 

8. LIMITED WARRANTY
During a period of ninety (90) days from the execution of this license, Provalis will make reasonable efforts to correct any material failure of the Software to so conform or perform substantially in accordance with its documentation, provided that: a) CLIENT promptly gives Provalis detailed written notice, in the form required by Provalis, of any such claimed failure to so conform or perform; b) Provalis is able, using reasonable means, to reproduce and identify the error; c) such failure to so conform or perform is not, in Provalis’ reasonable opinion, a result of any modification of or damage to the Software or its operating environment or of CLIENT’s failure to operate or access to the Software through the proper hardware and software environment; d) such failure to so conform or perform is not, in Provalis’ reasonable opinion, a result of the interaction of the Software with other software or hardware not provided, installed or configured by Provalis; and e) such failure to so conform or perform is not, in Provalis’ reasonable opinion, a result of the Software having been subjected to negligence, unauthorised access or use, or computer or electrical malfunctions.
In the event that Provalis shall fail or be unable for any reason to correct any failure of the Software to substantially conform to or perform substantially in accordance with its documentation, CLIENT may terminate this licence and cease using the Software and benefit from its use, and shall be reimbursed for the price of the license minus linear (straight line) depreciation calculated monthly over:
– three (3) years from the date of the purchase of the Software, in the case of perpetual licenses,
– six (6) months from the date of the purchase of the Software, in the case of annual licenses,
Such remedy shall be the CLIENT’s sole remedy.

 

9. DISCLAIMER OF WARRANTIES
EXCEPT AS EXPRESSLY PROVIDED IN SECTION 8 ABOVE, ANY WARRANTY, EXPRESS OR IMPLIED, OFFERED BY THE LAW OR USAGE OF TRADE, INCLUDING WITHOUT LIMITING THE FOREGOING, ANY WARRANTIES OF QUALITY, ABSENCE OF LATENT DEFECTS, ACCURACY, PERFORMANCE, SUITABILITY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE IS HEREBY EXCLUDED. EXCEPT AS EXPRESSLY PROVIDED IN SECTION 8 ABOVE, THE ENTIRE RISK IN CONNECTION WITH THE QUALITY AND THE OPERATION OF THE SOFTWARE IS ASSUMED BY THE CUSTOMER. IN ADDITION, EXCEPT AS EXPRESSLY PROVIDED IN SECTION 8 ABOVE, PROVALIS DOES NOT WARRANT AND ASSUMES NO RESPONSIBILITY FOR THE TIMELINESS, LEGALITY, ACCURACY, RELIABILITY, COMPLETENESS OR UTILITY OF A DECLARATION, OF A NOTICE, OF A SERVICE OR ANY OTHER INFORMATION BASED ON THE RESULTS OF THE USE OF THE SOFTWARE.

 

10. LIMITATION OF LIABILITY
IN NO EVENT WILL PROVALIS BE LIABLE TO CLIENT OR ANY OTHER PERSON FOR ANY LOST PROFITS, LOST SAVINGS, LOST DATA, OR OTHER INDIRECT,SPECIAL, CONSEQUENTIAL OR INCIDENTAL DAMAGES ARISING OUT OF OR RELATING TO THIS AGREEMENT OR ANY INFORMATION, PRODUCT OR SERVICE FURNISHED OR TO BE FURNISHED BY PROVALIS UNDER THIS AGREEMENT OR THE USE THEREOF, EVEN IF PROVALIS HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH LOSS OR DAMAGE. IT IS SPECIFICALLY UNDERSTOOD BETWEEN THE PARTIES THAT PROVALIS SHALL HAVE NO LIABILITY WHATSOEVER CONCERNING DAMAGES ARISING OUT OF OR RELATING TO THE USE OF THE SOFTWARE. IT IS FURTHER UNDERSTOOD THAT PROVALIS SHALL ALSO HAVE NO LIABILITY WHATSOEVER CONCERNING DAMAGES ARISING OUT OF OR RELATING TO UNAUTHORISED ACCESS, ALTERATION OR DESTRUCTION, BY ANY THIRD PARTY, OF A DATABASE, THE CLIENT’S COMPUTER SYSTEM OR THE CLIENT’S FILES OR DOCUMENTS.
THE AGGREGATE LIABILITY OF PROVALIS UPON ANY CLAIMS HOWSOEVER ARISING OUT OF OR RELATING TO THIS AGREEMENT OR ANY INFORMATION, DATA, PRODUCTS OR SERVICES PROCESSED, FURNISHED OR TO BE FURNISHED BY PROVALIS UNDER THIS AGREEMENT WILL IN ANY EVENT BE ABSOLUTELY LIMITED TO THE AMOUNT PAID TO PROVALIS BY CLIENT UNDER THIS AGREEMENT FOR THIS LICENCE TO USE THE SOFTWARE.

 

11. FEES AND PAYMENTS
CLIENT shall pay to Provalis the price set in the relevant invoice for the use of the Software, within thirty (30) days after the reception of an invoice from Provalis. Late payment may carry interest at a rate of 1% per month and 12% per year, at Provalis’ discretion. Provalis shall have and retain the right to disable CLIENT’s license in case CLIENT has not paid such amount after ninety (90) days without a valid reason.

 

12. TERM AND TERMINATION

12.1 Term
This Agreement shall be effective commencing on the Effective Date and represents a licence to use the Software installed by Provalis, subject to the conditions described herein, for the duration specified in the relevant invoice.
12.2 Termination for Breach
Either party may terminate this Agreement upon written notice to the other party if the other party materially breaches the terms of this Agreement and such default continues uncorrected for a period of ten (10) days after notice in writing thereof to such other party. The fact that one of the parties is adjudged bankrupt; makes a proposal for the benefit of its creditors; has a receiver appointed; files a petition of bankruptcy; initiates reorganisation proceedings; causes or permits to occur any similar event under the laws of its domicile; or ceases to conduct its operations in normal course of business; or is wound up will be interpreted as a default under the terms of the present Agreement.
12.3 Effect of Termination
Upon termination of this Agreement, CLIENT will, within fifteen (15) days: a) return all whole or partial copies of the Software to Provalis; b) destroy any copy of the Software, any relevant documentation or results and certify to Provalis, in writing, that all copies not returned to Provalis have been destroyed. Upon termination, all licences granted pursuant to this Agreement and any maintenance and support agreement executed by both parties will also cease. CLIENT shall pay immediately any and all sums then owing to Provalis hereunder together with interests, if any, accrued on said sums.
12.4 Non-Solicitation
CLIENT undertakes, during the term of this agreement and for a period of twelve (12) months after the termination of this Agreement, not to employ or attempt to employ an employee of Provalis. Should CLIENT be in default with respect to the aforementioned obligation, and should CLIENT not cure this default within three (3) days of the reception of a written notice by Provalis, CLIENT shall pay to Provalis, as anticipated damages and not as a penalty, a sum equivalent to the employee’s total remuneration, including benefits, during the six (6) months preceding its employment by CLIENT.
12.5 Survival
Sub-Sections 3.2, 3.3, 3.4, 6.1 and Sections 7, 9, 10, 12 and 13 will survive the termination of this Agreement.

 

13. FINAL PROVISIONS

13.1Entire Agreement
This Agreement sets forth the entire agreement and understanding between Provalis and CLIENT regarding the subject matter hereof and supersedes any prior representations, advertisements, statements, proposals, negotiations, discussions, understandings, or agreements regarding the same subject matter.
13.2 Non-Waiver
The failure by either party at any time to enforce any of the provisions of this Agreement or any right or remedy available hereunder or at law or in equity, or to exercise any option herein provided, shall not constitute a waiver of such provision, right, remedy or option or in any way affect the validity of this Agreement. The waiver of any default by either party shall not be deemed a continuing waiver, but shall apply solely to the instance to which such waiver is directed.
13.3 No Partnership or Joint Venture
It is expressly understood that this Agreement does not constitute and shall not be construed as constituting a partnership or joint venture between Provalis and CLIENT, and that both parties shall remain independent of one another. Neither party shall have the necessary legal authority to bind the other in its absence with regards to any agreement or contract.
13.4 Language
This Agreement is written in the English language, at the request of the parties. / Cette entente est rédigée en langue anglaise, à la demande des parties.

13.5 Severability
Every provision of this Agreement shall be construed, to the extent possible, so as to be valid and enforceable. If any provision of this Agreement so construed is held by a court of competent jurisdiction to be invalid, illegal or otherwise unenforceable, such provision shall be deemed severed from this Agreement, and all other provisions shall remain in full force and effect.
13.6 Choice of Law and Forum
This Agreement shall in all respects be governed by and interpreted, construed and enforced in accordance with the laws applicable within the Province of Quebec, Canada. Any action between Provalis and CLIENT will be venued in a competent court situated within the Judicial District of Montréal, in the Province of Quebec, Canada, and CLIENT irrevocably submits itself to the personal jurisdiction of such courts for such purpose.
13.7 Force Majeure
Each party shall not be in default or otherwise liable for any delay in or failure of its performance as per this Agreement should the cause of such default be beyond its control or due to a case of force majeure. Are deemed to be force majeure any unpredictable and irresistible event and any foreign cause which presents the same characteristics, notably, without limiting the foregoing, the causes beyond Provalis’ control, fire, electrical failures, failures of a telecommunication network or part thereof, floods and other acts of God, accidents, labour disputes, extra-ordinary supplying difficulties, civil unrest, orders, regulations, laws and other governmental interventions, riots, civil or military interventions and act of war (declared or not).
13.8 Assignment and Binding Effect
Provalis may assign, delegate and/or otherwise transfer this Agreement or its rights and obligations hereunder to any person or entity. CLIENT may not assign, delegate or otherwise transfer this Agreement or any of its rights or obligations hereunder without the prior written consent of Provalis. This Agreement shall be binding upon and inure to the benefit of the parties and their respective successors and permitted assigns.
Copyright © 2004-2018 Provalis Research Corp. All rights reserved. No part of this publication may be reproduced or distributed without the prior written permission of Provalis Research Corp., 1604-1255 Robert Bourassa Blvd, Montreal, QC, H3B 3X3, CANADA.

Operating System: Microsoft Windows XP, 2000, Vista, Windows 7, 8 and 10

 

Memory: From 256 MB (XP) to 1GB (Vista, Windows 7,8 and 10)

 

Disk Space:  40 MB of disk space.

 

WordStat will run on a Mac OS using virtual machine solution or Boot Camp, and on Linux computers using CrossOver or Wine.

The WORDSTAT manual can be downloaded  here

 

TUTORIAL ON LINE

A series of short videos developed by Provalis Research, the developers of Wordstat 9, offer excellent online tutorial support for conducting qualitative data analysis using the Provalis products.

 


© Copyright 2021 Provalis Research

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 can be used by anyone who needs to quickly extract and analyse information from large amounts of documents. Provalis Research content analysis and text mining software can be used in many applications such as analysis of open-ended responses, business intelligence, content analysis of news coverage, fraud detection and more. WordStat‘s seamless integration with SimStat – our statistical data analysis tool – QDA Miner – our qualitative data analysis software – and Stata – the comprehensive statistical software from StataCorp, gives you unprecedented flexibility for analyzing text and relating its content to structured information, including numerical and categorical data.