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Rosette Text Analytics from Basis Technology (now part of Rosette, a Babel Street Company)

Delivers entity extraction, relationship mapping, sentiment, and language identification across over 60 languages. Insurance teams use it for global claims analysis, anti-fraud efforts, and regulatory compliance via document and communications analytics.

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More about Basis Technology (now part of Rosette, a Babel Street Company)

Product analysis by function

Text Mining and Document Analytics for Business Intelligence and Analytics

Solutions that extract meaningful information from unstructured data sources like claims notes, policy documents, and customer communications.
More Text Mining and Document Analytics More Business Intelligence and Analytics ...

Data Ingestion and Integration
(7 Yes /7 Known /10 Possible features)

Natural Language Processing (NLP) Capabilities
(7 Yes /7 Known /10 Possible features)

Information Extraction and Knowledge Discovery
(6 Yes /6 Known /10 Possible features)

Data Enrichment & Augmentation
(4 Yes /4 Known /10 Possible features)

Advanced Analytics and Insights
(6 Yes /6 Known /10 Possible features)

User Experience and Workflow
(2 Yes /2 Known /10 Possible features)

Security and Privacy
(3 Yes /3 Known /10 Possible features)

Scalability and Performance
(4 Yes /4 Known /10 Possible features)

Customization & Extensibility
(4 Yes /4 Known /10 Possible features)

Deployment and Support
(7 Yes /7 Known /10 Possible features)

Cost and Licensing
(5 Yes /5 Known /10 Possible features)

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Multi-source Import Ability to import data from varied sources: files, databases, APIs, cloud storage, email servers, etc.		Supports document ingestion and analysis from multiple sources, as described in product overview.
Real-Time Data Streaming Support for real-time or near-real-time ingestion of unstructured data.		Used for near real-time fraud detection and claims monitoring; documentation highlights low-latency analysis.
Bulk Upload Capacity Maximum volume of documents the system can ingest/upload per batch.		No information available
Automated Data Refresh Automated scheduling of data upload or synchronization.		No information available
Data Preprocessing Tools Built-in tools for text cleaning, de-duplication, and noise removal before analysis.		Includes linguistic preprocessing: normalization, de-duplication, noise removal as part of core NLP pipeline.
Integration APIs Availability of APIs/SDKs for custom integrations with other systems.		API and SDK documentation for custom integrations provided on Rosette developer portal.
Format Flexibility Supports multiple text and document formats (PDF, DOCX, TXT, HTML, etc.).		Supports PDF, TXT, DOCX, HTML; product supports multiple text/document formats.
Optical Character Recognition (OCR) Capability to extract text from scanned documents or images.		Provides OCR capabilities as described in product features for extracting information from scanned documents.
Content Auto-Classification on Ingest Automatically tags and classifies documents on upload.		Automatic tagging and classification available on ingestion, enabling downstream analytics.
Data Source Management UI User interface for managing and monitoring data sources and connections.		No information available

Named Entity Recognition (NER) Identification of key entities such as people, dates, companies, locations, and policy numbers in text.		Handles extraction of people, organizations, policy numbers, dates as stated in Rosette NER product documentation.
Sentiment Analysis Determines emotional tone/polarity in communications and notes.		Supports document and communications sentiment analysis in multiple languages.
Topic Modeling Automatic detection of topics/themes in a corpus of documents.		Topic modeling is available and used for clustering and corpus theme identification.
Document Clustering Groups similar documents or cases for further analysis.		Document clustering mentioned in the product's analytics modules.
Text Summarization Generates concise summaries of lengthy documents or notes.		No information available
Part-of-Speech Tagging Tags and identifies the grammatical role of each word.		No information available
Custom Vocabulary/Tuning Supports user-defined dictionaries or ontology customization.		Custom dictionaries, vocabulary, and entity tuning is possible through API configuration.
Language Support Number of supported languages for NLP analysis.		No information available
Semantic Search Enables contextual search beyond exact keyword matching.		Semantic search referenced in the knowledge and analytics engine capabilities.
Context Extraction Identifies context-specific cues, such as intent, urgency, or risk.		Extracts context-specific information, such as intent and urgency, is part of core analytics.

Entity-Relationship Mapping Extracts entities and identifies relationships (e.g., person-has-policy, claim-linked-to-accident).		Entity-relationship mapping mentioned in both product summary and industry use cases.
Event Extraction Identifies and extracts business events (e.g., claim filed, policy renewed, payment delayed).		No information available
Attribute Extraction Pulls and maps key attributes (e.g., claim amount, policy effective date) from documents.		Attribute extraction for insurance claims (amounts, dates, policy IDs) shown in insurance applications.
Rule-Based Extraction Configurable rules for reliably extracting domain-specific information.		Supports configurable extraction rules for domain-specific needs, as per developer documentation.
Auto Tagging & Annotation Automatic tagging/annotation of documents to speed up knowledge management.		Auto-tagging and annotation features as described for knowledge management.
Relationship Graph Visualization Visual display of entity relationships within and across documents.		Graph visualization for entity relationships confirmed for analytics and investigation use cases.
Confidence Scoring Provides confidence scores for all extracted facts and relationships.		No information available
Extraction Accuracy Rate Average accuracy of automated information extraction.		No information available
Human-in-the-loop Corrections Allows manual review and correction of extracted information.		No information available
Cross-Document Entity Resolution Matches and merges the same entity referenced in multiple documents.		Performs cross-document entity resolution as part of entity linking and de-duplication pipeline.

External Data Linking Enriches extracted data by linking to third-party/external datasets or databases.		Links extracted data to external and third-party databases as described in enrichment features.
Automated Lookup Services Automated integration with lookup services (e.g., address verification, ID validation).		No information available
Profile Enrichment Aggregates additional attributes (demographics, social, other policies) for customers or entities.		No information available
Geocoding Support Converts addresses and location mentions in documents into geographic coordinates.		No information available
Risk Indicators Calculation Creates risk indicators based on extracted and enriched data.		Risk indicators calculation is a core use case (fraud, claims risk) highlighted in insurance and compliance scenarios.
Custom Annotation Layers Allows users to add custom tags or metadata to document elements.		Users can add custom tags and annotations at document/text element level—API supports this.
Reference Data Synchronization Ensures regular updating and synchronization with reference master data (e.g., ICD-10, NAICS codes).		No information available
History Tracking Tracks enrichment history and provenance for all data points.		No information available
Manual Data Enrichment Workflow Supports user-driven enrichment and validation cycles.		No information available
API for Custom Enrichment APIs enabling the integration of proprietary enrichment routines.		Custom enrichment via API supported (see developer documentation).

Prebuilt Analytics Dashboards Standard dashboards providing document, claim, and issue overviews.		No information available
Custom Report Builder Ability to build custom visualizations and analyses on extracted data.		No information available
Trend Detection Automatically identifies emerging trends or recurring topics over time.		Trend and anomaly detection referenced in analytics documentation.
Root Cause Analysis Supports drill-down exploration to identify drivers or causes of issues.		No information available
Predictive Modeling Support Integrates with or natively supports risk, fraud, or churn prediction models.		Predictive modeling and risk scoring is a primary application in the insurance industry.
Anomaly Detection Identifies unusual patterns or outliers in textual data.		Detects anomalies, outliers, and unusual patterns for fraud/risk scenarios.
Pattern Mining Automatically mines for frequent patterns, such as fraud signatures.		Supports pattern mining for identification of fraud/event signatures.
Drill-Down Analytics Allows navigation from aggregate visualizations to document-level details.		No information available
Embedded BI Integration Integrates extracted data into existing business intelligence tools.		API/SDK support for integrating with BI tools, enabling embedded analytics (common customer usage).
Export and Data Sharing Facilitates sharing or exporting results to various formats or systems.		Results and analytics can be exported (CSV, JSON, etc.) for downstream use.

Role-Based Access Control Assigns roles and permissions for data access and system actions.		No information available
Document Search and Retrieval Rich search capabilities including full-text, metadata, and semantic queries.		Provides semantic and full-text search across analyzed/local corpora.
Collaboration Tools Facilitates team-based annotation, commenting, and workflow assignments.		No information available
Task Automation Automates repetitive tasks such as document classification or workflow routing.		No information available
Alerting and Notifications Customizable alerts based on triggers (e.g., new risk indicator detected).		No information available
Audit Trails Records user actions and changes for compliance and traceability.		No information available
Customizable Workflows Enables definition and automation of document review and approval processes.		No information available
Mobile Access Mobile-friendly interface or app support for on-the-go access.		No information available
User Training Resources Availability of in-app tutorials, help guides, and onboarding assistants.		Rosette provides extensive documentation, guides, and onboarding for end users and developers.
Multi-tenancy Supports multiple organizational units with privacy separation.		No information available

Data Encryption at Rest and in Transit Ensures all data is encrypted using industry-standard protocols.		Industry use in financial/compliance use cases indicates strong encryption requirements and support.
Granular Data Access Controls Fine-grained permissions at document, attribute, and user/group levels.		No information available
Audit Logging Comprehensive logging of access and operations for compliance.		No information available
Masking of PHI/PII Automatically detects and masks protected health or personal information.		No information available
Compliance Certifications Availability of industry or regional compliance (e.g., HIPAA, GDPR, SOC2).		Compliance and regulatory certifications such as GDPR, SOC2, HIPAA referenced on website and materials.
Single Sign-On (SSO) Support Integrates with enterprise authentication services.		Supports SSO (SAML, OAuth) as stated in enterprise security features.
Regular Vulnerability Testing Ensures the platform is regularly tested for vulnerabilities/patches.		No information available
Data Retention Policy Management Configurable automated policies for data retention and deletion.		No information available
Incident Response Workflow Clearly defined process for data breach or incident management.		No information available
Privacy Impact Assessment Tools Supports risk analysis regarding privacy for new data sources/processes.		No information available

Horizontal Scalability Can scale across multiple servers or cloud nodes.		Supports cloud-scale and distributed deployments, as indicated by reference customers and cloud infrastructure usage.
Document Processing Speed Maximum number of documents analyzed per hour.		No information available
Concurrent User Support Number of simultaneous users supported without degrading performance.		No information available
Batch Processing Capability Supports large-volume batch analytics jobs.		Can handle large-scale batch analytics jobs as per documentation.
High-Availability Architecture System designed for minimal downtime and resilient failover.		System is referenced as highly available for financial and critical compliance customers.
Elastic Compute Utilization Auto-scales compute resources based on workload.		Elastic compute utilization through cloud deployments (AWS, Azure, GCP), mentioned in deployment guides.
Performance Monitoring Tools Built-in tools for monitoring and alerting on system health.		No information available
Load Balancing Optimally distributes workloads across resources.		No information available
Processing Latency Average turnaround time for analysis jobs.		No information available
Throughput Reporting Tracks throughput statistics and historical trends.		No information available

Custom Extraction Pipelines Allows creation or customization of extraction sequences/logic.		Allows custom extraction pipelines and logic, as referenced in API customization features.
Plugin/Extension Framework Supports plugins for custom analytics, connectors, or UI enhancements.		No information available
Custom Model Training Ability to train and deploy custom NLP or ML models within the platform.		Custom model training is supported for NLP/ML—API and documentation confirm this.
Configurable UI User interface elements and dashboards are configurable.		Configurable UI for analytics dashboards and module management; see demonstrations.
Scripting Support Allows scripting (e.g., Python, JavaScript) for custom processing tasks.		No information available
Template Management Supports management of policy and workflow templates.		No information available
Custom Field Mapping Map extracted data elements to custom fields as needed.		Custom field mapping supported as described for integration/custom extraction.
White Labeling Branding and wording customization for vendor-neutral rollouts.		No information available
Version Control Tracks and manages changes to custom pipelines or models.		No information available
Sample/Test Data Support Easily imports and manages sample/test document sets for development.		No information available

Multi-Cloud Deployment Supports deployment on multiple cloud platforms (AWS, Azure, GCP, etc.).		Supports multi-cloud deployment per product site (AWS, Azure, GCP).
On-Premises Deployment Supports on-premises installations for private, regulatory, or legacy needs.		On-premises deployment is supported, as mentioned in product's enterprise and government documentation.
Hybrid Deployment Supports seamless combination of cloud and on-premises environments.		Hybrid deployments supported for regulated/enterprise use cases.
SaaS Option Available as a fully managed SaaS service.		Available as a SaaS solution—core commercial deployment model.
Disaster Recovery Support Data backup, disaster recovery, and failover processes included.		Disaster recovery and backup options specified for enterprise/GRC customers.
24/7 Technical Support Round-the-clock customer or technical support.		No information available
Service Level Agreements (SLAs) Defined uptime and response time guarantees.		No information available
Implementation Services Availability of professional services for onboarding/customization.		Professional services and onboarding available, as per product's enterprise support documentation.
User Community/Forum Active user forum or community for self-help.		No information available
Documentation Quality Comprehensive, up-to-date, and easy-to-follow documentation.		Product site offers extensive technical documentation.

Transparent Pricing Clearly published pricing structures and cost calculators.		Transparent pricing models for major features where published, confirmed on vendor's pricing and request pages.
Consumption-based Pricing Offers usage-based pricing options (e.g., per-document or per-API call).		No information available
Seat/User Licensing Option for licensing by named or concurrent user.		No information available
Enterprise Licensing Available for large-scale or company-wide deployments.		Enterprise deployments and licenses widely referenced across industries.
Trial/Proof-of-Concept Availability Offers free or discounted trial periods for evaluation.		Free trial and proof-of-concept programs are available, per vendor website.
Volume Discounts Discounts available for high-volume use or multi-year contracts.		No information available
All-Inclusive Packages Supports pricing bundles inclusive of core features and support.		No information available
Flexible Contract Terms Customizable terms, duration, and exit options.		Offers flexible contract terms and custom licensing for enterprise clients.
Upgrade/Downgrade Flexibility Ability to change subscription level without penalty.		No information available
Hidden Fee Disclosure Clear absence of hidden fees for overages, add-ons, or support.		No hidden overage/support fees listed; transparent cost structure presented.

Rosette Text Analytics from Basis Technology (now part of Rosette, a Babel Street Company)

Product analysis by function

Text Mining and Document Analytics for Business Intelligence and Analytics

Data Ingestion and Integration (7 Yes /7 Known /10 Possible features)

Natural Language Processing (NLP) Capabilities (7 Yes /7 Known /10 Possible features)

Information Extraction and Knowledge Discovery (6 Yes /6 Known /10 Possible features)

Data Enrichment & Augmentation (4 Yes /4 Known /10 Possible features)

Advanced Analytics and Insights (6 Yes /6 Known /10 Possible features)

User Experience and Workflow (2 Yes /2 Known /10 Possible features)

Security and Privacy (3 Yes /3 Known /10 Possible features)

Scalability and Performance (4 Yes /4 Known /10 Possible features)

Customization & Extensibility (4 Yes /4 Known /10 Possible features)

Deployment and Support (7 Yes /7 Known /10 Possible features)

Cost and Licensing (5 Yes /5 Known /10 Possible features)