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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 Relative Insight?

Our text analysis platform, dedicated to ensuring online child safety, unlocks valuable business insights from your existing text data. Relative Insight’s cutting-edge technology equips marketing professionals and brand strategists to maximize the benefits of their textual assets. Utilizing a comparative approach, we enable the swift creation of comprehensive audience insights at scale, enhancing your qualitative assessments with a profound level of detail and accuracy. Armed with these distinctive marketing insights, brands can refine their messaging, enhance their market positioning, and develop more effective campaigns. Our platform simplifies the interpretation and utilization of unstructured data, significantly reducing the time required for analysis. Furthermore, this approach is versatile and can be applied across various primary research formats such as interviews, focus groups, and videos, uncovering hidden data treasures that you might not have recognized. Relative Insight also facilitates direct comparisons of your brand's messaging against that of your competitors, helping you maintain a competitive edge in your industry. By delving into these insights, brands can forge stronger connections with their audiences, boost engagement, and ultimately drive better business outcomes. This holistic understanding of the market landscape empowers brands to navigate challenges and seize opportunities with confidence.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

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

Relative Insight

Company Location

United Kingdom

Company Website

relativeinsight.com

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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