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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 SimpleX?

Effortlessly manage your text data using a no-code interface designed to understand natural language, leaving the limitations of spreadsheets behind. Unlike conventional spreadsheets that struggle with the subtleties of language, SimpleX harnesses your understanding alongside its sophisticated features. Bid farewell to complicated queries and technical jargon; here, artificial intelligence functions seamlessly within an intuitive interface. Experience a tenfold enhancement in the speed of analyzing free text responses, allowing you to swiftly import, tag, classify, and organize countless quotes in mere seconds, as our AI handles the complex tasks. Instantly create treemaps or word clouds that can be easily incorporated into your presentations, along with structured exports rich in valuable insights. Capable of natively understanding and processing 50 languages, even in various formats, it can efficiently manage up to 10,000 text responses, including quotes, feedback, and reviews. With AI-powered analytical tools, it extracts insights at an accelerated pace, completing real-time tasks that previously required human effort. This advanced AI solution not only offers remarkable power but also prioritizes user-friendliness, fundamentally changing the way you engage with text data. As a result, you can now focus more on strategic decision-making rather than getting bogged down in data management.

Media

Media

Integrations Supported

Google Sheets
Zapier

Integrations Supported

Google Sheets
Zapier

API Availability

Has API

API Availability

Has API

Pricing Information

$25
Free Trial Offered?
Free Version

Pricing Information

€6 per month
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

Simple Decisions

Company Location

France

Company Website

sx.simpledecisions.io

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

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

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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