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features
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support

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Description

CATMA is an innovative web platform designed for text annotation, analysis, and visualization, tailored to replicate the adaptable processes of hermeneutic text interpretation. Users can engage with the application in a manner that aligns best with their research objectives, whether they prefer qualitative or quantitative methods, exploratory approaches, or a more structured, taxonomy-driven analysis, allowing for both individual and collaborative efforts. The latest iteration, Version 6, introduces a host of new functionalities, with its framework now organized around distinct projects. These projects can encompass various elements, including Documents, Annotations, Tagsets, and Members, enhancing the organization of collaborative annotation through updated roles-and-rights management features. Improvements to analysis capabilities include refined query options and visualizations that are seamlessly integrated, alongside a collection of standard queries and fresh visualization tools. Furthermore, the user interface has undergone a comprehensive redesign, resulting in a more streamlined and user-friendly experience that enhances overall usability. With these advancements, CATMA continues to support diverse research needs while making the process of text analysis more accessible and efficient.

Description

Bring in extensive amounts of text into Transana in a plain text format from Word documents or RTF files, then proceed to categorize and code the information. You can also import, transcribe, code, and analyze up to four media files simultaneously, making it easy to manage your projects efficiently. Identify media Clips within their context and export Clip videos as needed. Additionally, you can import still images or capture snapshots from your video data within Transana, allowing for versatile visual integration. Crop, categorize, and apply coding shapes to your images, and seamlessly embed them into your Documents and Transcripts as required. Furthermore, you can import survey data formatted as spreadsheets for qualitative analysis, selecting specific questions for automatic coding during the import process. Utilize Transana’s robust analysis tools to maximize insights from your survey responses, and easily convert your video files into an analysis-friendly format with Transana’s user-friendly conversion feature, enhancing the overall workflow of your project. This comprehensive set of features makes Transana a powerful tool for qualitative researchers seeking to integrate various data types effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

QDA Miner

Integrations

QDA Miner

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

CATMA

Founded

2009

Country

Germany

Website

catma.de/

Vendor Details

Company Name

Spurgeon Woods

Founded

2000

Country

United States

Website

www.transana.com

Product Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Product Features

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

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