Text & NLP Annotation
High-quality linguistic data processing for chatbots, sentiment analysis, and search.
Interactive Preview
Input Text:
[
{
"text": "Apple Inc. plans to open...",
"entities": [
{
"start": 0,
"end": 10,
"label": "ORG",
"text": "Apple Inc."
},
{
"start": 28,
"end": 41,
"label": "LOC",
"text": "San Francisco"
}
],
"sentiment": "neutral"
}
]Capabilities & Features
- Named Entity Recognition (NER)Enterprise grade precision
- Sentiment AnalysisEnterprise grade precision
- Intent ClassificationEnterprise grade precision
- OCR CorrectionEnterprise grade precision
Quality Assurance Process
Every project undergoes a rigorous 3-step verification process: Annotator Self-Check, Senior Reviewer Audit, and Automated Consistency Checks. We guarantee 98%+ accuracy on Golden Sets.
Text & NLP Annotation, as one route
From your raw data to a model-ready dataset, with quality gates you can audit.
- Business problem
Your raw data
Text & NLP
- VentureSoft thinking
Guidelines and gold set
Agreed with your ML team
- Technology
Named Entity Recognition (NER)
- Technology
Sentiment Analysis
- Technology
Three-tier QA
100% review, golden-set audit
- Measured outcome
Model-ready dataset
Delivered in your format
From pilot to production
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
Scale
Dedicated pod with API delivery into your pipeline.
Continuous improvement
Gold sets and guidelines evolve with your model.
- 1Phase 1
Sample and scope
Send a sample; we return a labeled subset with QA metrics.
- 2Phase 2
Guidelines
Schema, edge cases, and acceptance criteria versioned together.
- 3Phase 3
Pilot batch
Up to 5,000 annotations through the three-tier workflow.
- 4Phase 4
Scale
Dedicated pod with API delivery into your pipeline.
- 5Destination
Continuous improvement
Gold sets and guidelines evolve with your model.
Start with a pilot dataset
Send us a sample and we will return annotated data with QA metrics within days.