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What is QDA Miner?

QDA Miner Lite is a free and intuitive version of our renowned software tailored for computer-assisted qualitative analysis. This application is perfect for examining various forms of textual data, such as interview transcripts, news articles, and open-ended survey responses, in addition to assessing still images. Users can seamlessly import documents in multiple formats including plain text, RTF, HTML, PDF, and data from Excel, MS Access, CSV, and tab-delimited text files. Moreover, it allows for the integration of data from other qualitative coding programs like Atlas.ti, HyperResearch, and Ethnograph, as well as from transcription software like Transana and Transcriber, including Reference Information System (.RIS) files. The software provides the ability for users to add comments or memos to coded segments, cases, or entire projects, which significantly enhances the analytical workflow. Users can extract coded data using Boolean operators (and, or, not) and proximity operators (includes, enclosed, near, before, after) to achieve greater precision in their analyses. Additionally, tables can be exported in various formats such as XLS, Tab Delimited, CSV, and Word, facilitating easier data sharing and reporting. The user interface, along with the help documentation, is accessible in English, French, and Spanish, promoting inclusivity for a wide range of users. This extensive functionality establishes QDA Miner Lite as a valuable tool for researchers and analysts aiming to simplify their qualitative data analysis processes. Ultimately, it empowers users to derive deeper insights from their data effectively.

What is Canvs?

Canvs AI serves as a powerful insight platform that converts open-ended responses from surveys, social media, and transcripts into meaningful conversational intelligence. Its capabilities extend to analyzing product reviews and various other types of feedback. Renowned brands, research firms, and media companies globally utilize Canvs to accelerate their insights and enhance their understanding of their target audiences, all while minimizing analysis costs. By automating the interpretation and analysis of open-ended text, Canvs helps users swiftly reveal consumer insights rich in emotional depth and analytical reliability. The platform features an intuitive insights portal that enables users to effectively explore, filter, and compare their results. Additionally, it facilitates the creation of impressive data visualizations. Canvs also automates the coding of attributes, recall, and awareness questions, enabling users to quickly identify and classify the sentiments and emotions expressed by respondents. This functionality ultimately empowers businesses to make more informed decisions based on nuanced consumer feedback.

Media

Media

Integrations Supported

Facebook
Instagram
Microsoft Access
Microsoft Excel
Toluna Start
Transana
YouTube

Integrations Supported

Facebook
Instagram
Microsoft Access
Microsoft Excel
Toluna Start
Transana
YouTube

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Provalis Research

Date Founded

1989

Company Location

Canada

Company Website

provalisresearch.com/products/qualitative-data-analysis-software/freeware/

Company Facts

Organization Name

Canvs

Company Location

United States

Company Website

canvs.ai/

Categories and 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

Categories and Features

Customer Engagement

Analytics
Churn Management
Communication Management
Community Management
Content Syndication
Feedback Collection
Gamification
Live Chat
Video Content

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Feedback

Alerts / Notifications
Behavior Analytics
Bug Reports
Community Feedback Tools
Live Chat
Negative Feedback Management
Net Promoter Score (NPS)
Screenshot / Screen Capture
Surveys
User Testing Tools
Video Feedback
Visual Feedback Tools
Voice of the Customer (VoC)
Website Feedback

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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

Survey

Custom Survey URLs
Data Analysis Tools
Email Marketing
Mobile Survey
Offline Response Collection
Paper Survey
Question Branching
Question Library
Site Intercept Survey
Skip Logic
Supports Audio / Images / Video

Text Mining

Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering

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