Annotation
Text Classification Services

Expert text labeling for NLP models

Professional text annotation and classification services. From sentiment analysis to named entity recognition, we deliver high-quality labeled text data for your natural language processing needs.

POWERING NLP FOR
OpenAI
Hugging Face
Anthropic
Cohere
Google DeepMind
Scale AI

Annotation Capabilities

Comprehensive text annotation solutions

Expert labeling for all your NLP and text analysis needs across multiple languages

Sentiment Analysis

Classify text by emotional tone and opinion. Perfect for social media monitoring and customer feedback analysis.

Named Entity Recognition

Identify and label entities like people, organizations, locations, dates, and custom entities in text.

Topic Classification

Categorize text by subject matter and theme. Ideal for content organization and document routing.

Intent Classification

Identify user intent in conversational text for chatbots and virtual assistants.

Content Moderation

Identify and flag inappropriate, toxic, or harmful content for safe online communities.

Custom Text Solutions

Tailored annotation workflows for domain-specific text classification tasks.

Our Process

How text classification works

A streamlined workflow designed for accurate and consistent text labeling

STEP 1

Upload Text Data

Provide your text corpus in CSV, JSON, or plain text

STEP 2

Define Labels

Specify classification categories and guidelines

STEP 3

Expert Classification

Trained annotators label your text data

STEP 4

QA & Delivery

Quality verification and labeled data export

Trusted for NLP excellence

Our text classification powers language models worldwide

100M+

Texts classified

99.5%

Label accuracy

50+

Languages supported

24hrs

Typical turnaround

Use Cases

Text classification across industries

Powering NLP applications from customer service to content moderation

E-commerce

Review sentiment analysis

Customer Support

Ticket categorization

Media & News

Article classification

Social Media

Content moderation

Finance

Document classification

Healthcare

Clinical note analysis

Email

Spam detection

Real Estate

Listing categorization

Ready to classify your text data?

Expert text annotation for NLP models. Multi-language support and guaranteed accuracy.

Text Classification FAQs

Common questions about our text annotation services

We support over 50 languages including English, Spanish, Mandarin, Arabic, French, German, Japanese, and more. We have native speakers for quality annotation in each language.

We guarantee 99.5% accuracy through consensus labeling and multi-layer QA. Each text is reviewed by multiple annotators to ensure consistency.

Yes, we specialize in industry-specific annotation including medical, legal, financial, and technical domains. Our annotators receive domain training for specialized projects.

For standard sentiment analysis, typical turnaround is 24-48 hours. Complex NER and multi-label classification take 2-5 days depending on dataset size and complexity.

Yes, we provide detailed quality reports including Cohen’s Kappa and Fleiss’ Kappa scores to measure inter-annotator agreement and label consistency.