SOFTWARE

NOW AVAILABLE: Crawdad Desktop 2.0 Text Analysis Software

If you’re a researcher doing qualitative data analysis, you’ll want Crawdad Desktop 2.0 on your desktop. Crawdad Desktop 2.0 is content analysis software that is easy to use, powerful, and supports sophisticated modeling.  Crawdad Desktop 2.0 is for researchers who wish to bring their content analyses to the next level (read our Press Release here).

Crawdad Desktop 2.0 embeds a superior model of textual content. Crawdad Desktop 2.0 is based on the patented technology Centering Resonance Analysis, or CRA. Whereas other methods equate word frequency with word importance, CRA is based on linguistic theory concerning how people create coherence in their communication. CRA uses natural language processing to create a network model of text. Word influence is calculated based on the structural position of the word within the CRA Network (graphic below shows President Bush's Inaugural Speech of 2005).

Interview transcripts, customer and employee comments, news articles, press releases, annual reports, emails streams, web sites, and journal articles are examples of texts that can be analyzed with Crawdad Desktop 2.0.

HOW TO PURCHASE CRAWDAD DESKTOP 2.0

Why Crawdad Desktop 2.0?
Crawdad Desktop 2.0 creates “clean” data for research purposes. Because CRA is a manifest, computerized method, it has complete reliability. Natural language processing ensures that unimportant words (like prepositions) are not included in the analysis. Word influence values are statistically more sensitive than word frequency values, enabling more precise secondary statistical analyses.

CRA has been shown to accurately represent the “collective mind”. Research shows that CRA Networks correspond to the average concept map produced by a group of people who have read the text.

Crawdad Desktop 2.0 provides you with powerful analytical modules. These functions allow you to browse and visualize individual texts, compare two texts, cluster a population of texts, perform a full-text search, and develop ontological themes. Additionally, you can easily export word influence values and perform statistical analyses such as regression, ANOVA, and time series analysis in your favorite statistical package. Word influence values can also be used to score a pre-existing ontology.

Finally, Crawdad Desktop 2.0 saves you time. Crawdad can facilitate cutting down your coding time by 80-95%. Crawdad Desktop 2.0 requires no training sets or ontology to work--just point at the texts and go.

System Requirements
OS: Windows 2000 or XP
Pentium-class processor with a minimum of 512 MB of RAM.

Costs
Academic license: $495 annual license fee per seat
Twenty percent annual maintenance after the first year (prices subject to change). 
Multi-seat discounts available.

Commercial license: inquire.
Free technical support; analytical support available by fee.

 

Crawdad Desktop 2.0 Features
Generator
A powerful natural language processing engine which creates a network model of your text. Generator can process up to 10,000 pages of text per hour.

Visualizer
Automatically draws concept maps of your texts. Visualizer drastically reduce the amount of time it takes you to comprehend large collections of text.

Browser
Highlights keywords in the original text.

Finder
Uses one text as a query to search for other similar texts. Search results are rank ordered on a continuous scale. Finder escapes the limitations of keyword-based search and allows you to specify a whole text as a target criterion.

Comparator
Finds common and unique portions between two texts. Find changes between documents and assesses their importance in the overall structure. Cut through “boilerplate” in documents like yearly annual reports to identify important substantive changes.

Classifier
Automatically sorts texts into clusters based on similarity of content. Classifier provides a versatile interactive modeling window so you can search the entire solution space, and generate concept maps of each cluster.

Sequencer
Exports keyword metrics for further secondary analysis.  Crawdad Desktop 2.0 now includes a factor analysis option that can be used to extract ontological word themes.