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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
The TextRazor API provides an efficient and precise means of uncovering the Who, What, Why, and How within your news articles. It features capabilities such as Entity Extraction, Disambiguation, and Linking, alongside Keyphrase Extraction, Automatic Topic Tagging, and Classification, supporting twelve different languages. This tool performs an in-depth analysis of your content, allowing for the extraction of Relations, Typed Dependencies between terms, and Synonyms, which empowers the development of advanced semantic applications that are context-aware. Furthermore, it enables the swift extraction of custom entities like products and companies, allowing users to create specific rules for tagging their content with personalized categories. TextRazor comprises a versatile text analysis infrastructure that can be utilized either via the cloud or through self-hosting. By integrating cutting-edge natural language processing techniques with an extensive repository of factual information, TextRazor aids in quickly deriving valuable insights from your documents, tweets, or web pages, making it an indispensable tool for content creators and analysts alike. This comprehensive approach ensures that users can maximize the effectiveness of their data processing and analysis efforts.
API Access
Has API
API Access
Has API
Integrations
Fleece AI
Neota
OpenResty
Pipedream
TiMi
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$200 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Luma7
Country
Switzerland
Website
luma7.com/biz/biz7.php
Vendor Details
Company Name
TextRazor
Founded
2011
Country
United Kingdom
Website
www.textrazor.com
Product Features
Text Mining
Boolean Queries
Document Filtering
Graphical Data Presentation
Language Detection
Predictive Modeling
Sentiment Analysis
Summarization
Tagging
Taxonomy Classification
Text Analysis
Topic Clustering
Product 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