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Description
Atomic Intelligence offers an online platform dedicated to the automated examination of textual information. We analyze vast amounts of data, including news articles, social media posts, and regulatory documents, while identifying expressed opinions alongside references to companies, products, and various topics. Our services are invaluable to investment firms that leverage this data to enhance their proprietary trading methods, consumer goods companies aiming to gauge customer sentiment, and tech firms seeking to delegate text analysis tasks. Atomic Intelligence meticulously reviews text to uncover references to companies, products, sentiment, and numerous other aspects. Utilizing advanced natural language processing and machine learning technologies, we pinpoint significant mentions, whether they are explicitly stated or subtly implied within the content. Additionally, Atomic Intelligence is capable of handling any form of unstructured data. Users can upload documents through our web interface or API, or they can set up Atomic for automated scheduled retrieval from their preferred sources, thereby streamlining the analysis process. In this way, we empower organizations to gain deeper insights and make informed decisions based on comprehensive textual analysis.
Description
Find out what companies such as Cisco, Reveal Data and Absolute Software already know about Catalyst, Catalyst, and others! Document Filters is the perfect toolkit to allow file inspection and processing functionality within applications for ediscovery, data protection prevention, text analytics and content management. It also allows you to search, archive, and search for files. Are your end users lost in file formats and document volume? We explain how Document Filters Drives Efficiency & Customer Value and how it can make a huge impact on all users. Document Filters allows software developers to integrate industry-leading file identification functionality in their solutions. File inspection and identification are essential first steps if your application relies upon processing files it didn't create. Document Filters uses intelligent file identification to inspect source content without relying only on the filename extension.
API Access
Has API
API Access
Has API
Integrations
.NET
C
C#
C++
Hyland RPA
Java
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Atomic Intelligence
Founded
2003
Country
United States
Website
www.atomicintelligence.com
Vendor Details
Company Name
Hyland
Founded
1991
Country
United States
Website
www.hyland.com/en/solutions/products/document-filters
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
Document Management
Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control
