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Ratings and Reviews 0 Ratings
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What is VizRefra?
Viztext provides a comprehensive approach to text analysis through its innovative 2D and 3D visual mapping capabilities, which include topic modeling, sentiment assessments, and word cloud generation. This distinctive machine learning algorithm facilitates the identification of themes within the analyzed text. By using interactive 2D and 3D maps, users can navigate through various topics effectively. The framework employs referential features to enable a coherent relational analysis of topics, complete with zoom-in and zoom-out functionalities and vibrant word clouds. Additionally, it evaluates the sentiment of the text through a pie chart that illustrates the proportions of positive, neutral, and negative sentiments. Visual representations also emphasize the key entities within the text by showcasing their respective percentages and highlights. Users can easily engage with the tool by dragging and dropping, uploading text files, or copying and pasting content from social media platforms. Alternatively, one can simply input a URL to analyze articles from specific websites, making it a versatile resource for text analysis.
What is Caplena?
• Recognize Patterns
• Showcase Outcomes
• Topic Sentiment Evaluation
• Amplified by Collaborative Intelligence
Caplena is a cutting-edge customer feedback platform that employs augmented intelligence to empower market researchers, customer experience professionals, and consultants in uncovering deep insights from qualitative textual data.
The idea for Caplena originated from co-founders Maurice and Pascal, who identified that many market research firms dealing with customer feedback face a prevalent issue: an abundance of open-ended responses paired with a lack of time for comprehensive analysis.
Since its inception in the Spring of 2018, Caplena has successfully analyzed over 50 million responses and continues to add approximately 120 new projects weekly. Currently, it is recognized as the leading text analytics tool for over 100 companies in more than 15 countries, with prominent clients such as Swisscom, eBay, DHL, Coop, and Joyn, highlighting its significant influence and value in the market research sector.
Its growth trajectory not only underscores its effectiveness but also illustrates the increasing reliance on technology-driven solutions in understanding consumer feedback.
Media
No images available
Integrations Supported
Quickwork
API Availability
Has API
API Availability
Has API
Pricing Information
$25
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
VizRefra
Date Founded
2019
Company Location
Australia
Company Website
www.vizrefra.com
Company Facts
Organization Name
Caplena
Date Founded
2017
Company Location
Switzerland
Company Website
caplena.com/en/
Categories and Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Categories and Features
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
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering