Audience

Companies and developers seeking a solution providing NLP libraries to manage their on-premise deployment operations

About Salience

Text analytics and NLP software libraries for on-premise deployment or integration. Integrate Salience into your enterprise business intelligence architecture or white label it inside your own data analytics product. Salience can process 200 tweets per second while scaling from single process cores to entire data centers with a small memory footprint. Use Java, Python, .NET/C# bindings for higher level ease or the native C/C++ interface for maximum speed. Enjoy full access to the underlying technology. Tune every text analytics function and NLP feature, from tokenization and part of speech tagging to sentiment scoring, categorization, theme analysis, and more. Built on a pipeline model of NLP rules and machine learning models. When issues arise, see exactly where they are in the pipeline. Adjust specific features without disrupting the larger system. Salience runs entirely on your servers while staying flexible enough to offload insensitive data to cloud servers.

Integrations

API:
Yes, Salience offers API access

Ratings/Reviews

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Company Information

Lexalytics
United States
www.lexalytics.com/salience/

Videos and Screen Captures

Salience Screenshot 1
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Product Details

Platforms Supported
Cloud
Linux
On-Premises
Training
Documentation
Live Online
In Person
Support
Phone Support
Online

Salience Frequently Asked Questions

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

Salience Product Features

Natural Language Processing

Sentence Segmentation
Tokenization
Stemming/Lemmatization
Part-of-Speech Tagging
Parsing
Named Entity Recognition
Co-Reference Resolution
In-Database Text Analytics
Open Source Integrations
Natural Language Generation (NLG)

Text Mining

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