Wordstat&QDAMiner

NOU! A aparut WordStat 2022!

Pe 17 octombrie, s- lansat WordStat 2022. Noul WordStat 2022 implementează multe caracteristici importante, în special pentru dezvoltarea modelelor de clasificare, taxonomiilor sau lexiconelor.

Această versiune, de la WordStat 9 la WordStat 2022, introduce, de asemenea, o nouă schemă de numerotare a versiunilor și noua noastră politică de actualizare. Din martie 2022, când s-a implementat politica de licențiere de un an și trei ani, oricine a achiziționat software-ul a avut acces nu numai la actualizări, ci și la toate actualizările majore ale software-ului în perioada de abonament. În continuare, intenționăm să introducem o actualizare cel puțin o dată pe an. Aceasta înseamnă o introducere mai rapidă de noi funcții în fiecare an.

WordStat 2022 – flexibilitate crescuta, performante si precizie imbunatatite, extinderea gamei de utilizare.

Caracteristici noi în WordStat 2022

O descriere completă a noilor funcții și capturi de ecran poate fi găsită pe pagina Ce este nou de pe site-ul web Provalis Research.

Iată un rezumat:

Modelare de subiecte extrem de optimizată: Noua rutină de analiză factorială cu mai multe fire este de până la 65 de ori mai rapidă decât versiunile anterioare. De asemenea, am crescut capacitatea de analiză factorială de la 3.000 la 10.000 de cuvinte.

Sugestii îmbunătățite pe pagina Frecvențe: O nouă secțiune Asociată din panoul Sugestii va prelua acum din corpus text alte cuvinte legate semantic, sintactic și statistic de cuvântul (cuvintele) selectat(e) din tabelul de frecvență. Această nouă funcție funcționează în orice limbă, chiar și pentru cei fără tezaur.

Noua filă de sugestii pentru rutina de extragere a frazelor: panoul Suprapunere a fost înlocuit cu un panou Sugestii, afișând fraze semantic, sintactic sau statistic legate de rândul(ele) selectat(e) în tabelul de frecvență a frazelor. Această caracteristică este, de asemenea, independentă de limbă.

Rezultate mai bune entități denumite: un nou panou Related a fost adăugat la pagina de recunoaștere a entităților numite. Selectând, o singură entitate numită va aduce entități numite înrudite, precum și cele aparținând aceleiași clase (persoane, loc, organizație etc.).

Evidențierea cuvintelor contextuale în tabelele cu cuvinte cheie în context: o nouă caracteristică de evidențiere vă permite să specificați o listă de cuvinte și expresii de căutat în contextul înconjurător al cuvântului.

Filtrarea elementelor din diagramele de corespondență: a fost adăugat un nou control glisor pentru a ascunde elementele care sunt fie mai puțin frecvente, fie apropiate de această origine.

Selecție multiplă de elemente din panourile de sugestii: WordStat acceptă acum selecția multiplă de elemente din panourile de sugestii.

Preluare îmbunătățită a cuvintelor cheie: rezultatele căutării unui cuvânt cheie sunt acum sortate în ordine descrescătoare a relevanței, luând în considerare atât frecvența, varietatea elementelor potrivite, cât și lungimea segmentului de text preluat. O nouă coloană de frecvență poate fi folosită și pentru a sorta numai pe frecvențe.

Concatenarea șirurilor: O nouă comandă de transformare a datelor permite calcularea unei variabile șir prin concatenarea valorilor mai multor variabile existente (număr, șiruri de caractere, date etc.), precum și a textului tastat.

Setări persistente ale diagramei de comparație: tipul diagramei și statisticile, precum și paleta de culori a acestor diagrame de comparație rămân acum constante pe pagini (frecvențe, fraze, modele de subiecte, dendrograme) și între sesiuni.

Diverse: au fost făcute câteva modificări minore și optimizări ale vitezei.

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

WORDSTAT – SOFTWARE PENTRU ANALIZA TEXT

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

WORDSTAT FOR STATA – ANALIZA DE CONTINUT SI TEXT MINING PENTRU STATA

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.

NOU! QDA MINER 6 – ANALIZA CALITATIVA A DATELOR

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

18. Improved Bubble Chart

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

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