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What is Semantria?

Lexalytics, a prominent player in the fields of enterprise sentiment and text analysis since 2004, offers the Semantria API, which excels in natural language processing. This powerful tool provides a comprehensive suite of features, including multi-layered sentiment analysis, categorization, entity recognition, theme analysis, intention detection, and summarization, all accessible via an easy-to-use RESTful API. Users can customize Semantria through intuitive graphical configuration tools, making it adaptable to various needs. It supports 24 different languages and can seamlessly operate on public, private, and hybrid cloud infrastructures. Additionally, Semantria is designed to scale efficiently, accommodating everything from individual servers to extensive data centers, ensuring flexibility based on processing requirements. By integrating Semantria, businesses can enhance their text analytics and natural language processing capabilities, thus enriching cloud-based data analysis products or enterprise business intelligence systems. For a comprehensive business intelligence solution, organizations can also incorporate Lexalytics' storage or visualization tools, enabling them to effectively store, manage, analyze, and visualize their text documents for deeper insights. Such integration allows for a more informed decision-making process within organizations.

What is Azure Text Analytics?

Harness natural language processing to gain valuable insights from unstructured text without requiring any machine learning knowledge, by utilizing an array of features from the Cognitive Services for Language. Elevate your understanding of customer emotions through sentiment analysis and identify key phrases and entities such as people, places, and organizations to uncover common themes and patterns. Use specialized, pretrained models to classify medical terminology specific to various fields. Evaluate text across multiple languages and reveal essential concepts within the content, which include key phrases and named entities that highlight individuals, events, and organizations. Delve into customer feedback regarding your brand while examining sentiments linked to specific topics through opinion mining techniques. Additionally, derive critical insights from unstructured clinical documents, including doctors' notes, electronic health records, and patient intake forms, by applying text analytics tailored for healthcare settings, ultimately enhancing patient care and informing decision-making processes. By integrating these advanced capabilities, organizations can stay ahead of trends and better meet the needs of their stakeholders.

Media

Media

Integrations Supported

Lexalytics
Salience

Integrations Supported

Azure Marketplace
TAS Insight Engine
Unremot

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub

Company Facts

Organization Name

Lexalytics

Date Founded

2004

Company Location

United States

Company Website

www.lexalytics.com

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/cognitive-services/text-analytics/

Categories and Features

Artificial Intelligence

Chatbot
For Healthcare
Machine Learning
Multi-Language
Natural Language Processing
Process/Workflow Automation

Business Intelligence

Ad Hoc Reports
Dashboard
Data Analysis
Trend / Problem Indicators
Visual Analytics

Customer Experience

Analytics
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Sentiment Analysis
Text Analytics

Data Mining

Data Visualization
Machine Learning
Semantic Search
Text Mining

Experience Management

Analytics
Dashboard
Multi-Channel Collection
Sentiment Analysis
Text Analysis
Trend Analysis

Machine Learning

Deep Learning
Model Training
Natural Language Processing (NLP)
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Collaboration
Data Visualization
Media Analytics
Multi-Language
Qualitative Comparative Analysis
Sentiment Analysis
Text Analytics

Sentiment Analysis

Not specified

Social Media Analytics Tools

Customizable Reports
Engagement Tracking

Social Media Monitoring

Customer Engagement
Dashboard
Reputation Management
Sentiment Analysis
Trend Tracking

Text Analytics

Not specified

Text Mining

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

Categories and Features

Natural Language Processing

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

Sentiment Analysis

Not specified

Text Analytics

Not specified

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