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Description

At the crossroads of Customer Experience and Business Intelligence lies Customer Intelligence, which uncovers the vital link between customer sentiments and the performance metrics that influence business outcomes. With Explore, you can harness the insights necessary for your organization to make significant and informed decisions. Your collection of customer opinions and emotions captured through feedback, surveys, and support interactions can be effectively utilized in OdinExplore for broader analysis. By investigating the themes present in customer feedback, you can identify which topics resonate most with your audience. Explore offers features like auto-terms, the creation of key topics, dictionary applications, and emotional sentiment analysis. You can also segment your data by various demographics, ratings, or timeframes to reveal the differences among customer groups. Running multiple experiments allows you to uncover fresh insights about diverse customer segments, products, and more, ultimately leading to more tailored business strategies. This comprehensive approach not only enhances understanding but also drives continuous improvement in customer engagement.

Description

Explore the capabilities of text analytics and NLP software libraries that can be deployed on-premise or integrated seamlessly into your systems. You can incorporate Salience into your enterprise business intelligence framework or even customize it for your own data analytics solutions. With the ability to handle up to 200 tweets per second, Salience efficiently scales from individual cores to extensive data center infrastructures while maintaining a compact memory footprint. Choose from Java, Python, or .NET/C# bindings for user-friendly integration, or opt for the native C/C++ interface to achieve peak performance. Gain comprehensive control over the foundational technology, allowing you to fine-tune every aspect of text analytics and NLP functions, including tokenization, part of speech tagging, sentiment analysis, categorization, and thematic exploration. The platform is designed around a pipeline model consisting of NLP rules and machine learning algorithms, enabling you to pinpoint issues in the process easily. You can modify specific features without affecting the overall system's integrity. Moreover, Salience operates entirely on your own servers while remaining adaptable enough to transfer non-sensitive data to cloud environments, offering both security and versatility for your analytics needs. This flexibility empowers organizations to leverage advanced analytics features while ensuring data privacy and performance efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

.NET
C
C#
C++
Java
Lexalytics
Python
Semantria

Integrations

.NET
C
C#
C++
Java
Lexalytics
Python
Semantria

Pricing Details

$999 per month
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

OdinAnswers

Country

United States

Website

odinanswers.com/platform/

Vendor Details

Company Name

Lexalytics

Country

United States

Website

www.lexalytics.com/salience/

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

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

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