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What is Salience?

Delve into the powerful features of text analytics and natural language processing (NLP) software libraries that can be installed on-site or seamlessly integrated into existing systems. Salience can be embedded within your enterprise business intelligence framework or adapted to suit your specific data analytics requirements. Capable of processing up to 200 tweets per second, Salience efficiently scales from single-core setups to large-scale data center environments, all while keeping a minimal memory footprint. Users can choose from bindings in Java, Python, or .NET/C# for easy integration, or utilize the native C/C++ interface to achieve optimal performance. This platform grants you extensive control over the underlying technology, enabling precise adjustments to various aspects of text analytics and NLP tasks such as tokenization, part-of-speech tagging, sentiment detection, categorization, and thematic analysis. Designed around a pipeline model that incorporates NLP rules and machine learning algorithms, it allows for straightforward identification of process issues. You can adjust particular features without compromising the system's overall stability. Furthermore, Salience operates entirely on your servers, yet it is flexible enough to allow for the transfer of non-sensitive data to cloud platforms, striking a balance between security and adaptability for your analytics operations. This versatility not only enhances the organization’s ability to utilize sophisticated analytics capabilities but also prioritizes data privacy and operational efficiency, ensuring that businesses can achieve their analytical goals without sacrificing security. By leveraging these capabilities, organizations can stay ahead in their data-driven decision-making processes.

What is Cognitive Workbench?

ExB offers a Cognitive Process Automation platform powered by AI and ML that enables insurance firms to transform various forms of text into actionable insights for managing inputs and automating processes. With features such as pre-trained models for policy and claims management, as well as text mining capabilities for report analysis, insurance companies can enhance their operational efficiency. Additionally, they have the option to request the development of custom models tailored to their specific business workflows, further optimizing their processes. This flexibility ensures that the platform can adapt to the unique needs of each insurance provider, making it a valuable tool in the industry.

Media

Media

Integrations Supported

.NET
C
C#
C++
DocuWare
Java
Kissflow
Lexalytics
Python
SAP ERP
SS&C Blue Prism
Salesforce
Semantria
UiPath

Integrations Supported

.NET
C
C#
C++
DocuWare
Java
Kissflow
Lexalytics
Python
SAP ERP
SS&C Blue Prism
Salesforce
Semantria
UiPath

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Lexalytics

Company Location

United States

Company Website

www.lexalytics.com/salience/

Company Facts

Organization Name

ExB Group

Date Founded

2000

Company Location

Germany

Company Website

exb.de

Categories and 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

Text Mining

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

Categories and Features

Data Extraction

Disparate Data Collection
Document Extraction
Email Address Extraction
IP Address Extraction
Image Extraction
Phone Number Extraction
Pricing Extraction
Web Data Extraction

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

OCR

Batch Processing
Convert to PDF
ID Scanning
Image Pre-processing
Indexing
Metadata Extraction
Multi-Language
Multiple Output Formats
Text Editor
Zone Selection Tool

Text Mining

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

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