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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.
Description
WordStat is a user-friendly and versatile text analysis application designed to facilitate the extraction of themes and trends through text mining tools, as well as to provide meticulous measurement capabilities with advanced quantitative content analysis features. It serves anyone in need of swiftly extracting and analyzing large volumes of documents for valuable insights. This software can be applied in various contexts, including the evaluation of open-ended survey responses, enhancing business intelligence, analyzing news coverage, detecting fraud, and much more. With its seamless integration with SimStat, a statistical data analysis application, QDA Miner for qualitative data analysis, and Stata, a comprehensive statistical software from StataCorp, WordStat offers unparalleled flexibility in correlating text analysis with structured data, encompassing both numerical and categorical information. Additionally, its adaptable nature makes it suitable for diverse industries and research fields, allowing users to tackle different analytical challenges effectively.
API Access
Has API
API Access
Has API
Integrations
.NET
C
C#
C++
Java
Lexalytics
Python
Semantria
Pricing Details
No price information available.
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
Lexalytics
Country
United States
Website
www.lexalytics.com/salience/
Vendor Details
Company Name
Provalis Research
Founded
1989
Country
Canada
Website
provalisresearch.com
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
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