Average Ratings 1 Rating

Total
ease
features
design

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

QCAmap is a freely accessible online platform designed for systematic text analysis in scientific endeavors, utilizing qualitative content analysis techniques. This tool is applicable to various research fields, including psychology, sociology, education, economics, and linguistics, allowing users to analyze diverse text materials and images sourced from interviews, group discussions, observation notes, documents, open-ended survey responses, and more. The process of Qualitative Content Analysis follows a meticulously structured protocol that incorporates both qualitative elements, such as categorizing text segments and images, and quantitative aspects, including the examination of category frequencies. We have created an interactive web-based software that guides users through the various methodologies of Qualitative Content Analysis in a step-by-step manner. The platform is freely accessible to all users, ensuring ease of use. Furthermore, all previous projects have been successfully migrated to the latest version, allowing researchers to continue their work without interruption. This seamless transition enhances user experience and enables continuous engagement with the software's features.

Description

The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Fleece AI No 
Neota No 
OpenResty No 
Pipedream No 
TIMi No 

Integrations

Fleece AI Yes 
Neota Yes 
OpenResty Yes 
Pipedream Yes 
TIMi Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

$200 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

QCAmap

Country

Germany

Website

www.qcamap.org/ui/home

Vendor Details

Company Name

TextRazor

Founded

2011

Country

United Kingdom

Website

www.textrazor.com

Product Features

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis Yes 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics Yes 
User Research Analysis No 

Product Features

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

Qualitative Data Analysis

Annotations No 
Collaboration No 
Data Visualization No 
Media Analytics No 
Mixed Methods Research No 
Multi-Language No 
Qualitative Comparative Analysis No 
Quantitative Content Analysis No 
Sentiment Analysis No 
Statistical Analysis No 
Text Analytics No 
User Research Analysis No 

Text Mining

Boolean Queries No 
Document Filtering No 
Graphical Data Presentation No 
Language Detection No 
Predictive Modeling No 
Sentiment Analysis No 
Summarization No 
Tagging No 
Taxonomy Classification No 
Text Analysis No 
Topic Clustering No 

Alternatives

MM Studio Reviews

MM Studio

ReliCheck

Alternatives

QDA Miner Reviews

QDA Miner

Provalis Research
Semantria Reviews

Semantria

Lexalytics
WordStat Reviews

WordStat

Provalis Research
COSTAQDA Reviews

COSTAQDA

Global Centre for Academic Research