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About

QCAmap is an open access web application for systematic text analysis in scientific projects based on the techniques of qualitative content analysis. QCAmap can be used within research projects in e.g. psychology, sociology, education, economics, linguistic sciences, to analyze small and large amounts of any text material and images coming from interviews, group discussions, observation protocols, documents, open-ended questionnaire items and others. Qualitative Content Analysis is a strictly rule-guided procedure containing qualitative steps (assignment of categories to text passages and images) and quantitative steps (analysis of category frequencies). We have developed a web-based interactive software package, which leads you step by step through the different techniques of Qualitative Content Analysis. The software is free available. All your old projects are migrated to the new version and can be used as normal.

About

The TextRazor API helps you extract and understand the Who, What, Why and How from your news stories with unprecedented accuracy and speed. Entity Extraction, Disambiguation and Linking. Keyphrase Extraction. Automatic Topic Tagging and Classification. All in 12 languages. Deep analysis of your content to extract Relations, Typed Dependencies between words and Synonyms, enabling powerful context aware semantic applications. Rapidly extract custom products, companies and build problem specific rules for tagging your content with your own categories. TextRazor offers a complete cloud or self-hosted text analysis infrastructure. We combine state-of-the-art natural language processing techniques with a comprehensive knowledgebase of real-life facts to help rapidly extract the value from your documents, tweets or web pages.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Researchers requiring an open access web application solution for systematic text analysis in scientific projects

Audience

Companies or individuals looking to parse, analyze and extract semantic metadata from their content

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Supported
Free Trial Not Supported

Pricing

$200 per month
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5
design 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Pros & Cons from Real Users

Pros

  • Gives a clear, reproducible setup but allows flexibility for your deductive, inductive and summarizing needs. Multiple overlapping markings can be made, the exported information can be exported as csv containing 1. a series of text strings + category + document; 2. the number of or binary is or is not mentioned the set categories and 3. the the category rules themselves. this data can be refined outside the tool from there. Multiple documents can be added to a project in which multiple research questions with different methods can be set up. Reliability within one tester and across testers can be tested to further added to allow for intersubjective claims. The view for marking in the text is easy to use and highlights passages not in the text but as bars on the side, so the text does not get obfuscated.

Cons

  • The categories of any given question must strictly be deductive XOR inductive. keep this in mind before putting together the questions and categories. Sessions can be a bit short, which then forces you to re-login and clicking back to your project.

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

QCAmap
Germany
www.qcamap.org/ui/home

Company Information

TextRazor
Founded: 2011
United Kingdom
www.textrazor.com

Alternatives

QDA Miner

QDA Miner

Provalis Research

Alternatives

MM Studio

MM Studio

ReliCheck
WordStat

WordStat

Provalis Research
Semantria

Semantria

Lexalytics
COSTAQDA

COSTAQDA

Global Centre for Academic Research

Categories

Categories

Qualitative Data Analysis Features

Annotations Not Supported
Collaboration Not Supported
Data Visualization Not Supported
Media Analytics Not Supported
Mixed Methods Research Not Supported
Multi-Language Not Supported
Qualitative Comparative Analysis Not Supported
Quantitative Content Analysis Supported
Sentiment Analysis Not Supported
Statistical Analysis Not Supported
Text Analytics Supported
User Research Analysis Not Supported

Integrations

Fleece AI Not Supported
Neota Not Supported
OpenResty Not Supported
Pipedream Not Supported
TIMi Not Supported

Integrations

Fleece AI Supported
Neota Supported
OpenResty Supported
Pipedream Supported
TIMi Supported
Claim QCAmap and update features and information
Claim QCAmap and update features and information
Claim TextRazor and update features and information
Claim TextRazor and update features and information