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Natural Language Processing Expertise

Data Annotation for NLP & LLM

Text and audio labeling, sentiment analysis and automated text detection for Natural Language Processing and Large Language Models.

Text ClassificationText LabelingSentiment AnalysisAuto LabelingAudio AnnotationPDF & OCR
classification

Text Classification

Text Classification
Text Annotation
NLP
Text Classification

Text classification is a cornerstone of modern NLP applications — from sentiment analysis and topic tagging to spam detection and intent recognition. We annotate and structure large volumes of text data using predefined taxonomies or custom class hierarchies tailored to your use case. Whether you’re training chatbots, monitoring customer feedback, or automating document workflows, we deliver high-quality labeled datasets that turn language into signal.

textlabeling

Text Annotation & Labeling

Text Annotation & Labeling
Text Annotation
NLP
Semantic Labeling

Precise text labeling is essential for building robust NLP systems — whether for named entity recognition, sentiment analysis, intent classification, or relationship extraction. We use advanced annotation platforms such as Inception and Doccano to label text data efficiently and accurately, following custom schemas aligned with your domain-specific needs. From raw text to structured insights, we help you power language models that truly understand.

textsentiment

Sentiment Analysis

Sentiment Analysis
Text Annotation
NLP
Sentiment Analysis

In today’s data-driven world, knowing what people say is not enough — you need to understand how they feel. We support sentiment analysis projects by delivering high-quality labeled text datasets that capture polarity, intensity, and emotion. Whether for customer feedback, social media monitoring, or market intelligence, our NLP experts help you train models that turn opinion into actionable insight.

textdetection

Text Automated Labeling

Automatic Text Labeling
Text Annotation
NLP
Automated Labeling

Large Language Models (LLMs) are revolutionizing text annotation by enabling smart, context-aware auto-labeling at scale. We integrate LLMs into your NLP pipeline to pre-label text for tasks like classification, entity recognition, and sentiment analysis — drastically reducing manual effort. Combined with human-in-the-loop validation, this hybrid approach delivers high-quality datasets faster, accelerating your model development without compromising accuracy.

audio

Audio Annotation

Audio Annotation
Audio Annotation
NLP

Speech is rich, complex, and full of meaning. At Qwanteos, we specialize in audio annotation for NLP applications such as speech recognition, speaker diarization, emotion detection, and intent classification. Our expert teams transcribe, segment, and label audio data with precision — capturing not just words, but context, tone, and nuance. Whether you’re training virtual assistants or conversational AI, we help you build voice-enabled models that truly understand.

ocr

PDF Document & OCR

PDF Document & OCR
Text Annotation
NLP
OCR
PDF

In the world of unstructured data, scanned documents and PDFs hold critical information — if you know how to extract it. At Qwanteos, we combine OCR technology with expert annotation workflows to label text from invoices, forms, reports, and historical archives. From layout analysis to named entity tagging, we prepare high-quality datasets that power NLP models for document classification, information extraction, and automated reading comprehension.