Text and Audio Annotation for Natural Language Processing

Train your models to perform human-like tasks with our data labeling platform

Annotated Image for NLP

Meaning is influenced by a variety of factors

Why natural language processing needs human-labeled data

Interpreting natural language is complex and nuanced, even for humans. Meaning is influenced by context, frames of reference, individual preferences, and situational constraints, among other variables. While modern machine learning models have learned to predict and generate text, they are not yet able to execute sophisticated tasks like sentiment analysis or intent recognition without large volumes of human-labeled data that capture semantic properties.

NLP Explained

Natural Language Processing Capabilities

Our platform and purpose-built tools support annotation for Named Entity Recognition, part-of-speech tagging, text classification, and speech recognition, enabling customers to extract meaning out of raw audio or text. NLP tasks are deployed to a team of human annotators who are trained to handle use cases involving a high degree of subjectivity like intent recognition and sentiment analysis.


Categorize complex queries into fixed classes to design interactions

Customer Service

Use pattern recognition to Identify customer objectives

Sentiment Analysis

Overlay human decisions to extract context and information

Virtual Assistants

Train virtual assistants to deliver personalized interactions

Mobile Apps

Keep NLP-driven features up-to-date with continuous model validation

Text Classification

Nominate inappropriate content for human judgment and reviews

Information Extraction

Extract structured information from unstructured data

Intent Recognition

Create associational relationships to identify intent

Semantic Enrichment

Infer meaning and improve content utility through text augmentation

Platform & Tools

The platform is the core of our high-performance data labeling. Annotation tools, workflow configuration, job distribution, worker evaluation, and quality control are all managed within our platform with varying degrees of ML assistance.

Known Workforce

Alegion qualifies and trains a team of human annotators who are identified as a match for your project. Our teams can be NDA-ready, geo-isolated, or selected according to specific compliance requirements. Or, you can bring your own team.

ML Project Expertise

We don’t just onboard you onto our platform and hope for the best. You’ll be assigned an Alegion solutions specialist who understands your problem space and continually iterates on your labeling tasks to deliver on your accuracy requirements.

What our customers have to say



Alegion's annotation tools, machine learning assistance, and quality control strategies have greatly improved confidence in our AI initiatives.

High-quality training data for your NLP project

Request Proof of Concept

Additional Resources