Elevate AI Projects with Highly Accurate Text Annotation
LTS GDS provides text and document annotation services with high-quality labeled datasets for computer vision projects and NLP-based AI/ML models and LLMs.
Trusted by Industry Leaders Worldwide
Types of Text & Document Labeling Services That We Offer
Leveraging our vetted multilingual annotation team to unlock deeper insights from unstructured text data
Our Text & Document Annotation Services Workflow
Our structured text data annotation workflow is designed to meet the evolving needs of AI, ML and LLM teams.
At this stage, LTS GDS works closely with the client to thoroughly understand and define the project needs and business objectives. We analyze key factors such as:
-Project goals
-Annotation guidelines
-Linguistic or domain-specific requirements (e.g., legal, medical, financial documents)
-Quality benchmarks
-Timelines and expected deliverables
We also assess potential challenges such as subjective interpretation or context-based ambiguities. Based on this analysis, we provide tailored text and document annotation solutions along with expert consultation to ensure alignment with the project requirements.
Using a sample dataset, our team runs a pilot project to:
-Validate project guidelines
-Identify potential bias risks, such as cultural context or subjective content
-Assess domain-specific complexities like multilingual datasets
After the pilot is completed, we review the client’s feedback, refine the project scope if needed, and finalize the Service Level Agreement (SLA), setting clear terms for quality, turnaround time, and reporting.
Upon contract approval, we carefully assemble a dedicated text annotation outsourcing team based on:
-Project scale and complexity
-Required linguistic or domain expertise
-Timeline and workflow demands
Our team leaders conduct training sessions to ensure every annotator fully understands the client's annotation guidelines, quality expectations, and objectives. We also emphasize strategies to minimize bias and improve consistency, especially for projects involving subjective annotations like sentiment analysis or nuanced classifications.
We establish a communication and project management structure. Together, we build a detailed project timeline with clearly defined milestones and implement tracking tools for real-time monitoring of progress, quality, and productivity across teams.
Our text & document annotation experts kick off full-scale production following the project’s specifications. During execution, we:
-Monitor productivity and quality using defined performance indicators
-Manage risks such as data sensitivity, ambiguous cases, or shifting priorities
-Provide periodic reports
We also use continuous feedback loops during this phase to fine-tune instructions or address evolving project needs.
All annotated datasets undergo a multi-layered quality assurance process, including self-checks, cross-reviews, vertical reviews, and final inspection. Before final delivery, we perform quality validation to ensure compliance with accuracy standards. Upon completion, we collect the client's feedback through review sessions to assess satisfaction and identify areas for improvement or future collaboration.
Why LTS GDS for Your Text & Document Annotation Projects?
Outsource text annotation to LTS GDS to bring state-of-the-art applications to market on time and on budget
Quality-first Strategies
We prioritize quality, as reflected in our 99% accuracy, prestigious awards, strict four-step review process, and DEKRA's Certificate of Conformity for Data Labeling.
Security Standards
We safeguard your data confidentiality by signing a Non-Disclosure Agreement (NDA) and enforcing stringent security measures in full compliance with ISO 27001 and GDPR standards.
Dedicated Teams
We assemble dedicated, multi-tier teams by blending experienced leaders with a well-trained annotation team, ensuring efficient management, scalability, and adaptability to business needs.
Cost-Effectiveness
Take advantage of competitive labor costs, favorable tax policies, and flexible pricing models to optimize overseas IT outsourcing projects to Vietnam for meeting diverse client requirements.
Wall of Achievement
99%
Accuracy
100M+
Data Units
11
Countries
500+
Projects
Our Case Studies
Provide custom text & document annotation solutions for AI-powered applications in diverse industries.
Our Tools and Technologies for Text & Document Annotation
Utilize advanced annotation platforms, AI-assisted tools for complex text and document annotation projects.
FAQs about Text & Document Annotation Services for ML Projects
What is text annotation and document annotation in machine learning?
Text and document annotation is the process of labeling or tagging text data with specific information to train machine learning models for tasks such as sentiment analysis, entity recognition, classification, and more.
What types of text annotation services are used in machine learning?
Key types of text annotation services include:
- Text Classification & Categorization
- Named Entity Recognition (NER)
- Optical Character Recognition (OCR)
- Sentiment Analysis
- Transcription Services
What’s the difference between text classification and named entity recognition?
Text classification assigns categories to entire documents or text segments, while named entity recognition focuses on identifying specific entities like names, dates, or locations within the text.
What file formats are accepted for text annotation projects?
Commonly LTS GDS supports TXT, CSV, JSON, XML, DOCX, and PDF, depending on the annotation tools and project needs.
Awards & Certifications
Bring Advanced AI Applications to Market with Accurately Annotated Datasets
Get in touch with our experts for your text and document annotation needs.
