Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
NetOwl TextMiner merges the acclaimed NetOwl Extractor with Elasticsearch to deliver an innovative text analytics solution. This software harnesses the full spectrum of NetOwl's functionalities, making it perfect for conducting "what if" analyses, performing discovery tasks, facilitating quick-response investigations, and carrying out thorough research. By incorporating all the text analytics features of the NetOwl Extractor—including entity extraction, relationship and event extraction, sentiment analysis, text categorization, and geotagging—TextMiner presents a comprehensive text mining platform. The results generated by the Extractor are stored within Elasticsearch, which offers a range of intelligent search and analytical capabilities. The synergy between Elasticsearch and NetOwl ensures rapid and scalable real-time text analysis suited for handling Big Data. Furthermore, the user-friendly web-based interface of TextMiner can be easily configured to accommodate various analytical needs, enabling users to swiftly access only the most valuable insights from extensive text datasets. This adaptability not only enhances usability but also allows for more tailored analysis across multiple domains.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
.NET
Yes
ArcGIS
No
C
Yes
C#
Yes
C++
Yes
Elasticsearch
No
Google Maps
No
Hyland RPA
Yes
IBM Cloud
No
Java
Yes
Integrations
.NET
No
ArcGIS
Yes
C
No
C#
No
C++
No
Elasticsearch
Yes
Google Maps
Yes
Hyland RPA
No
IBM Cloud
Yes
Java
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
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
Customer Support
Business Hours
Yes
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)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Hyland
Founded
1991
Country
United States
Website
www.hyland.com/en/solutions/products/document-filters
Vendor Details
Company Name
NetOwl
Founded
1996
Country
United States
Website
www.netowl.com/text-mining
Product Features
Document Management
Access Controls
No
Archiving & Retention
Yes
Collaboration Tools
No
Compliance Tracking
No
Document Archiving
Yes
Document Assembly
No
Document Capture
No
Document Conversion
No
Document Delivery
No
Document Indexing
No
Document Retention
No
Electronic Signature
No
Email Management
No
File Recovery
No
File Type Conversion
No
Forms Management
No
Full Text Search
No
Offline Access
No
Optical Character Recognition
No
Print Management
No
Version Control
No
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
No
Taxonomy Classification
No
Text Analysis
No
Topic Clustering
No