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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 Orange?

Leverage open-source machine learning platforms and data visualization methods to construct dynamic data analysis workflows in a visually appealing manner, drawing on a diverse array of resources. Perform basic data evaluations complemented by meaningful visual representations, while exploring statistical distributions through techniques such as box plots and scatter plots; for more intricate analyses, apply decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even complex multidimensional datasets can be efficiently visualized in 2D using clever attribute selection and ranking strategies. Engage in interactive data exploration to facilitate rapid qualitative assessments, enhanced by intuitive visualizations. The accessible graphical interface allows users to concentrate on exploratory data analysis rather than coding, while smart defaults support the swift development of data workflows. Simply drag and drop widgets onto your canvas, connect them, import your datasets, and derive insightful conclusions! In teaching data mining principles, we emphasize demonstration over mere explanation, and Orange stands out in making this method both effective and enjoyable. This platform not only streamlines the process but also significantly enhances the educational experience for users across various expertise levels. By integrating engaging elements into the learning process, users can better grasp the complexities of data analysis.

Media

Media

Integrations Supported

Lexalytics
Salience

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version

Supported Platforms

SaaS
Windows
Linux

Supported Platforms

Windows
Mac

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Online Training
On-Site Training

Company Facts

Organization Name

Lexalytics

Date Founded

2004

Company Location

United States

Company Website

www.lexalytics.com

Company Facts

Organization Name

University of Ljubljana

Company Location

Slovenia

Company Website

orange.biolab.si

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

Data Mining

Not specified

Data Visualization

Dashboard Creation
Visual Discovery

Machine Learning

Not specified

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