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ease
features
design
support

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Description

Various business operations often lead to the generation of numerous documents, yet many struggle to efficiently track everything and locate similar or related information pertaining to each document, context, or phrase. Luma7 addresses these challenges by automatically creating connections between documents without relying on keywords, metadata, or tags. Our algorithms analyze the text within each document to uncover all potential relationships by comprehending the deeper connections that exist. This approach allows for effective management of all produced documents, facilitates linkages across diverse sources of documentation, and supports fully automated link creation among multiple documents, as well as relationships between concepts and documents. Additionally, we offer automated tagging for each document, which includes identifying relevant keywords not explicitly mentioned in the text, streamlining connection processes across our entire archive of articles, implementing entity recognition throughout documents, providing support in multiple languages, and much more. With Luma7, businesses can improve their document management practices and enhance their ability to find and connect vital information seamlessly.

Description

WordStat is a user-friendly and versatile text analysis application designed to facilitate the extraction of themes and trends through text mining tools, as well as to provide meticulous measurement capabilities with advanced quantitative content analysis features. It serves anyone in need of swiftly extracting and analyzing large volumes of documents for valuable insights. This software can be applied in various contexts, including the evaluation of open-ended survey responses, enhancing business intelligence, analyzing news coverage, detecting fraud, and much more. With its seamless integration with SimStat, a statistical data analysis application, QDA Miner for qualitative data analysis, and Stata, a comprehensive statistical software from StataCorp, WordStat offers unparalleled flexibility in correlating text analysis with structured data, encompassing both numerical and categorical information. Additionally, its adaptable nature makes it suitable for diverse industries and research fields, allowing users to tackle different analytical challenges effectively.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
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 Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Luma7

Country

Switzerland

Website

luma7.com/biz/biz7.php

Vendor Details

Company Name

Provalis Research

Founded

1989

Country

Canada

Website

provalisresearch.com

Product Features

Text Mining

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

Product Features

Text Mining

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

Alternatives

Alternatives

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