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Text Annotation
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Text Annotation

Fueling NLP with Structured Text Data

Our Text Annotation Services

Text annotation is essential for training AI systems in language processing. Our team identifies entities, intent, sentiment, and syntax across vast corpora of documents, enabling smarter chatbots, recommendation engines, and language models.

Text Annotation Workflow

  1. 1

    Corpus Collection

    Gather and clean text data.

  2. 2

    Annotation Guidelines

    Define custom labels and tagging protocols.

  3. 3

    Manual or Assisted Tagging

    Annotate text using expert linguists and tools.

  4. 4

    Review and Validate

    Perform QA and consistency checks.

Technologies We Use

Text Tools

  • Prodigy
  • Doccano
  • Spacy
  • Amazon Comprehend

Key Features

Entity Recognition

Identify people, places, dates, and other entities.

Sentiment Analysis

Label emotional tone—positive, neutral, or negative.

Intent Detection

Power your chatbot and voice assistant with accurate understanding.

Syntax Tagging

Label parts of speech, structure, and grammar rules.

Why Choose Us

  • Support for all major NLP annotation tasks.

  • Multi-language support and scalable teams.

  • Combines automation with human oversight.

  • Customizable pipeline to suit your model needs.

Contact Us Today

Ready to discuss your text annotation project? Get in touch with our team for a free consultation.

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