Entities, intent, sentiment, categories and relations labeled by domain-trained annotators in 28+ languages and checked against your gold set. Start with a free 48-hour pilot on your own text.
Language models learn what words mean from labeled examples. Annotera’s text annotation services turn raw documents, chats, reviews, emails and transcripts into consistent training data: entities tagged, intents classified, sentiment scored and relations mapped exactly as your guidelines define them. Dedicated annotators trained on your domain do the work, and every batch is scored against a gold set before it ships.
Our NLP annotation services cover named entity recognition, entity linking, sentiment and emotion, intent classification, text categorization, semantic annotation, phrase chunking and content moderation. For language models, text data annotation extends to prompt-response writing, preference ranking and evaluation through our LLM and generative AI annotation services. Native-speaker teams work in 28+ languages, and domain specialists label clinical, legal and financial text where context changes meaning.
Text annotation supports chatbot and virtual assistant teams, search and recommendation, document processing, risk and compliance, and customer experience analytics. If you are new to the topic, our guide to what data annotation is covers the basics, and our article on text annotation for NLP explains the main techniques.
Choose the task your model needs, or combine several in one program. Each page covers use cases, edge-case rules and how we measure quality for that task.
People, organizations, places, dates, amounts and domain terms tagged with exact span rules for extraction models.
Positive, negative and neutral tone, plus emotion and sarcasm, labeled consistently for analytics and CX models.
User goals in chats, emails and calls classified against your intent taxonomy for assistants and routing.
Documents, tickets and messages sorted into topics and labels for routing, search and compliance workflows.
Concepts, relations and meaning added to text so models understand what is said, not just which words appear.
Sentences split into meaningful phrases that help parsers, extraction and retrieval systems read structure.
Mentions connected to the right entries in your knowledge base, resolving names that could mean several things.
Harmful, abusive and policy-breaking text labeled for safety classifiers, alongside live moderation in 28 languages.
Every text annotation service we run follows the same sequence, so quality is proven on your own data before volume arrives.
We label a sample of your documents or messages, usually within 48 hours, and score it against your gold set and acceptance criteria.
Labels, span rules and ambiguous cases are written down with examples and agreed before production starts.
Batches ship with per-label accuracy and agreement scores, and the team grows with your volume without drifting.
Consistent text labels depend on linguists who understand context, a clear taxonomy and strict data security. These are the commitments behind every Annotera NLP program. Teams that want a fully managed operation can use our data annotation outsourcing services.
Annotator self-review, team-lead checks and independent QA, with inter-annotator agreement and per-label accuracy reported.
Teams in 28+ languages who understand slang, dialect and mixed-language text, not just dictionary meaning.
Operations certified to ISO/IEC 27001:2022, SOC 2 Type II, HITRUST CSF and PCI DSS 4.0.1, with role-based access to sensitive text.
Annotators trained for clinical, legal, financial and customer-service text, where one word can change a label.
We work in your annotation platform or established tools, with model pre-labeling where it speeds up the work.
Teams scale with your volume, drawing on Fusion CX’s 17,000 people across 40 delivery centers in 13 countries.
Annotators are trained on the vocabulary and edge cases of your domain before they label production text.
Clinical notes, reports and transcripts labeled for medical entities, coding and summarization in HIPAA-compliant workflows.
Statements, onboarding documents and transaction text labeled for extraction, risk and fraud models.
Contracts and filings annotated for parties, dates, obligations and clause types.
Product titles, reviews and search queries labeled for categorization, sentiment and relevance.
Chat and call transcripts labeled for intent, entities and dialogue state to train assistants and routing.
Harmful and policy-breaking text labeled for safety classifiers and moderation workflows.
Answers on tasks, quality, languages, pricing, security and how to get started.
Text annotation services label documents, messages and transcripts so natural language processing models can learn from them: tagging entities, classifying intent and topics, scoring sentiment and marking relations. A managed provider such as Annotera supplies trained annotators, guidelines, quality assurance and reporting.
Named entity recognition, entity linking, sentiment and emotion, intent classification, text categorization, semantic annotation, phrase chunking and content moderation, plus LLM data such as prompt-response writing, preference ranking and evaluation.
Against a gold set labeled by senior linguists. We report accuracy per label, inter-annotator agreement and, for entity work, exact and partial span matches, so ambiguous labels and drifting guidelines show up early.
Pricing depends on the task, document length, label count, expertise and quality targets. Programs are usually priced per record or document, per hour or per dedicated annotator. A pilot on your own text gives an accurate quote before you commit.
We work in 28+ languages with native-speaker annotators, including European, Asian and Middle Eastern languages and mixed-language text where speakers switch between languages mid-sentence.
Yes. We work in your in-house or commercial annotation platform, or provide established tools if you do not have one, and deliver labels in the formats your training pipeline expects.
Work runs inside Fusion CX operations certified to ISO/IEC 27001:2022, SOC 2 Type II, HITRUST CSF and PCI DSS 4.0.1, with HIPAA-compliant workflows and role-based access. Personal information can be masked before annotation, and we never resell datasets.
Native-speaker linguists, domain specialists for your text, per-label QA with agreement scores, certified security and a pilot on your own data. Our guide to choosing a data annotation company covers the full checklist.
