SAS Visual Text Analytics
SAS Visual Text Analytics empowers users to efficiently analyze and extract insights from vast amounts of text data. By leveraging advanced natural language processing, machine learning, and deep learning techniques, it identifies key themes, sentiment, and relationships while ensuring data integrity and reducing bias. Its collaborative environment streamlines the analytics lifecycle, integrating seamlessly with existing systems.
Top SAS Visual Text Analytics Alternatives
SAS Sentiment Analysis
SAS Sentiment Analysis leverages advanced natural language processing, machine learning, and linguistic rules to automatically detect sentiment and relationships within vast text data.
DiscoverText
This innovative platform equips users with multilingual text mining and data science features, enabling quick evaluation of extensive text datasets.
SAS Contextual Analysis
SAS Contextual Analysis empowers organizations to efficiently manage and extract insights from vast volumes of unstructured text.
NetOwl TextMiner
NetOwl TextMiner offers advanced text analytics capabilities, integrating entity extraction, relationship mapping, sentiment analysis, and geotagging into a robust software solution.
Google Cloud AutoML Natural Language
Google Cloud AutoML Natural Language is a powerful text analysis tool that empowers users to derive insights from unstructured text.
Dcipher Analytics
This innovative text analytics platform empowers users to swiftly transform unstructured text into actionable insights.
Amenity Analytics
Users can identify key trends, outliers, and sentiment shifts, while interactive dashboards provide tailored visualizations...
Microsoft Text Analytics API
It enables users to perform sentiment analysis, key phrase extraction, opinion mining, language detection, and...
IBM Watson Personality Insights
It identifies sentiment, emotion, entities, and relationships across diverse languages, enhancing data-driven decision-making...
Thematic
By integrating organizational knowledge through an intuitive theme editor, teams can uncover specific insights from...
MonkeyLearn
It allows organizations to identify trends, understand customer sentiment, and prioritize actions effectively...
TAS Text Analytics System
With its intuitive interface, users can efficiently navigate complex datasets, uncover insights, and enhance decision-making...
NewSci Platform
By leveraging extensive expertise in AI integration, the platform optimizes business processes and enhances product...
Provalis Research QDA Miner
With advanced computer-assisted capabilities, it streamlines the coding and analysis processes, enhancing reliability and efficiency...
Gavagai
Its intuitive Explorer platform transforms open text responses into actionable insights in minutes, while the...
Top SAS Visual Text Analytics Features
- Scalable text data analysis
- Toxicity and bias management
- Intelligent algorithm detection
- Unsupervised machine learning grouping
- Flexible analytics life cycle
- Collaborative workspace integration
- One-click model deployment
- Linguistic models for LLM
- Automated rule generation
- Enhanced sentiment analysis
- Customizable data curation
- Native language analysis support
- Rich mix of modeling approaches
- Output statistics accessibility
- Effective data cleansing strategies
- Natural language generation capabilities
- Relationship extraction from text
- Best-practice template usage
- Traceability for sensitive data.
Top SAS Visual Text Analytics Alternatives
- SAS Sentiment Analysis
- DiscoverText
- SAS Contextual Analysis
- NetOwl TextMiner
- Google Cloud AutoML Natural Language
- Dcipher Analytics
- Amenity Analytics
- Microsoft Text Analytics API
- IBM Watson Personality Insights
- Thematic
- MonkeyLearn
- TAS Text Analytics System
- NewSci Platform
- Provalis Research QDA Miner
- Gavagai
