Native-language judgement
Annotators understand tone, idioms, and mixed-language text.
Services / Text Annotation & Classification
Teach your models to read between the lines.
Sentiment, intent, entity, and topic labeling by native speakers who understand context.
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Text Annotation & Classification
Why teams choose Langigs
Sarcasm, slang, code-switching, and cultural context trip up models trained on poorly labeled text. Our native-speaker annotators classify and tag text in multiple languages so your NLP models, chatbots, and search systems understand what people actually mean.
Any labeling schema
Sentiment, intent, topic, entities, toxicity, relevance, and custom categories.
Clear edge-case handling
Ambiguous examples are flagged and resolved, not guessed.
Structured output
Labels delivered in JSON, CSV, or your platform’s format.
Use cases
Where we can help
- Sentiment and emotion analysis
- Intent detection for chatbots and assistants
- Named entities and keyword tagging
- Topic and document classification
- Toxicity and hate-speech detection
- Search relevance and query labeling
How it works
A clear process, start to finish.
- 01
Share your data and schema
Send sample text, label definitions, and target volume.
- 02
Pilot and calibrate
Annotators label a sample so we can align on decisions together.
- 03
Label in batches
Text is classified at scale with continuous quality checks.
- 04
Deliver with insights
You receive labeled data plus notes on patterns and edge cases.
Quality assurance
Quality built into every step
- Double annotation on sampled items
- Reviewer adjudication of disagreements
- Guideline updates shared with the whole team
- Accuracy reported per batch
FAQ
Common questions
Can you annotate mixed-language text?
Yes. Our annotators are comfortable with code-switched text such as English mixed with Yoruba, Hausa, Pidgin, or Swahili.
Do you work with sensitive content?
Yes, with agreed safeguards, wellbeing measures for annotators, and strict data-handling rules.
What volume can you handle?
Volume depends on languages and complexity. We confirm capacity during scoping and can scale gradually after a pilot.
Start your project
Ready to talk about Text Annotation & Classification?
Share your goals, languages, and timeline. We will reply with next steps and a plan that fits.
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