Audience

Enterprises in search of a text analytics software solution that provides analysis, discovery, quick response investigation, and detailed research

About NetOwl TextMiner

NetOwl TextMiner combines our award winning NetOwl Extractor with Elasticsearch to provide unique text analytics software. TextMiner leverages all aspects of NetOwl capabilities and is ideal for supporting “what if” analysis, discovery, quick response investigation, and detailed research. NetOwl TextMiner integrates all text analytics capabilities of NetOwl Extractor, including entity extraction, relationship, and event extraction, sentiment analysis, text categorization, and geotagging into all-encompassing text mining software. Extractor output is stored in Elasticsearch for a variety of intelligent search and analytic capabilities. The combination of Elasticsearch and NetOwl provides fast and scalable real-time text analysis for Big Data. TextMiner’s Web-based UI is an easy to use and configurable text analytics tool for different analysis scenarios and enables users to gain quick access to all and only high-value information derived from a vast amount of texts.

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Integrations

API:
Yes, NetOwl TextMiner offers API access
See Integrations

Ratings/Reviews

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Company Information

NetOwl
Founded: 1996
United States
www.netowl.com/text-mining

Videos and Screen Captures

NetOwl TextMiner Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
In Person
Support
Phone Support
Online

NetOwl TextMiner Frequently Asked Questions

Q: What kinds of users and organization types does NetOwl TextMiner work with?
Q: What languages does NetOwl TextMiner support in their product?
Q: What kind of support options does NetOwl TextMiner offer?
Q: What other applications or services does NetOwl TextMiner integrate with?
Q: Does NetOwl TextMiner have an API?
Q: What type of training does NetOwl TextMiner provide?

NetOwl TextMiner Product Features

Text Mining

Summarization
Language Detection
Boolean Queries
Taxonomy Classification
Document Filtering
Sentiment Analysis
Graphical Data Presentation
Predictive Modeling
Topic Clustering
Text Analysis
Tagging