Text Annotation Services

Build smarter AI models with context-sensitive, bias-free text data labeling services

TEXT DATA LABELING SERVICES

We Teach AI the Language of your Industry
With Context-Aware Text Annotation Services

AI applications operate on the patterns learned from structured training data, but real-world data often defies these patterns. Imagine your sentiment analysis model confidently labeling "Oh great, just what I needed" as a positive review, missing the sarcasm entirely. Or a chatbot responding to this customer comment with “I am glad you had a good experience”!

That’s where our text annotation services make a difference. By capturing nuances that automated text annotation systems simply can’t, we ensure your AI models are prepared for the unpredictable nature of real-world data.

Text Annotation Challenges we Solve

Automated Annotation Tool Limitations
Data Quality Issues
Resource Constraints
Process Management
Automated Annotation Tool Limitations
Your Pain Points
Our Solution
  • Contextual misinterpretation of domain-specific terms
  • Poor edge case handling
  • Missed complex relationships in text
  • Inconsistent format handling
Our Solution

We provide a hybrid text annotation workflow that combines AI-powered pre-annotation with domain specialists who validate and refine the results, ensuring reliable, high-quality data for your AI models—on time and within budget.

Your Pain Points
Our Solution
  • Inconsistent source data quality
  • Mixed writing styles and terminology
  • Encoding and formatting variations
  • Incomplete text sections
Our Solution

We provide a hybrid text annotation workflow that combines AI-powered pre-annotation with domain specialists who validate and refine the results, ensuring reliable, high-quality data for your AI models—on time and within budget.

Your Pain Points
Our Solution
  • Limited domain expert availability
  • High annotation quality control costs
  • Tight project timelines
  • Specialized skill requirements
Our Solution

We provide a hybrid text annotation workflow that combines AI-powered pre-annotation with domain specialists who validate and refine the results, ensuring reliable, high-quality data for your AI models—on time and within budget.

Your Pain Points
Our Solution
  • Unclear annotation guidelines
  • Inconsistent quality standards
  • Poor decision tracking
  • Accuracy measurement challenges
Our Solution

We provide a hybrid text annotation workflow that combines AI-powered pre-annotation with domain specialists who validate and refine the results, ensuring reliable, high-quality data for your AI models—on time and within budget.

OUR SERVICES

Our Text Data Labeling Services Include

Entity Recognition & Extraction

  • Named Entity Recognition (NER): Identifying and tagging entities like names, organizations, locations, dates, and product names.
  • Entity Linking: Connecting identified entities to a knowledge base or database for contextual understanding.
  • Relation Extraction: Annotating relationships between entities (e.g., person-organization, product-location).
  • Intent-Entity Mapping: Mapping specific intents with relevant entities for conversational AI.

Sentiment, Emotion, & Intent Analysis

  • Text Annotation for Sentiment Analysis: Classifying text based on sentiment (positive, negative, neutral).
  • Contextual Annotation: Tagging context-specific elements, such as sarcasm, humor, or idiomatic expressions.
  • Text Pair Annotation: Analyzing sentence pairs for sentiment similarity, contradiction, or agreement.
  • Text Annotation for Intent Analysis: Identifying the underlying intent (positive, negative, neutral, or ambiguous) behind user-generated content, like social media posts or product reviews.

Text Classification & Categorization

  • Text Classification: Categorizing text into predefined labels or topics (e.g., spam detection, topic categorization).
  • Query Intent Classification: Tagging queries based on user intent (informational, navigational, transactional, etc.).
  • Language Detection: Identifying the language or dialect in text for multilingual applications.

Linguistic & Semantic Analysis

  • Part-of-Speech (POS) Tagging: Annotating words with their respective parts of speech (nouns, verbs, etc.).
  • Semantic Role Labeling (SRL): Identifying the semantic roles of entities (e.g., agent, recipient).
  • Linguistic Annotation: Adding markers like syntax trees, co-references, or lemmatization.
  • Keyword & Keyphrase Extraction: Extracting critical phrases for summarization or indexing.

Relevance Labeling for Search Engines

  • Search Engine Labeling: Annotating data to optimize search relevance, intent matching, and content ranking.
  • Query Expansion & Refinement: Labeling related terms for improved search suggestions.
  • Content Quality Assessment: Evaluating and tagging content for originality, readability, and trustworthiness.

Document & Data Structuring

  • Data Transcription: Converting audio, handwritten, or printed documents into digital text.
  • Text Summarization: Annotating critical sentences or passages for automated summarization.
  • Document Structuring: Identifying sections (headings, paragraphs, tables) for content extraction.
DATA SECURITY

Data Security Should Never be an Afterthought

Don't compromise on data security while outsourcing—choose a partner who prioritizes it as much as you do. Our commitment to data protection is backed by internationally recognized certifications, including ISO/IEC 27001:2022 for information security management and ISO 9001:2015 for quality management. We comply with key regulations such as HIPAA, GDPR, CCPA, DORA, SOX, and PCI, ensuring your data remains protected at every level. As a CMMI Maturity Level 3 company, we uphold the highest standards in process and security to keep your data confidential.

USE CASES

Build AI Models that are Truly Industry-Ready

Domain-Specific Text Data Labeling Services

Specialized Text Annotation Services by Industry

Financial Services
eCommerce and Retail
Real Estate & Property Management
Travel & Hospitality
Healthcare & Life Sciences
RCM & Claims Processing
Legal and Regulatory
Social Media
Financial Services
Text Data Annotation for
Supporting AI Applications for
  • Financial statements
  • Audit reports
  • Legal documents
  • Compliance filings
  • Transaction logs
  • Contracts
Supporting AI Applications for

Fraud detection, streamlining risk assessments, automating compliance checks, and enhancing financial analysis.

Text Data Annotation for
Supporting AI Applications for
  • Customer reviews
  • Product descriptions
  • Chat transcripts
  • Order feedback
  • Social media comments
Supporting AI Applications for

Sentiment analysis and product categorization to optimize recommendation engines, enhance customer satisfaction, and boost sales conversions.

Text Data Annotation for
Supporting AI Applications for
  • Property listings
  • Client inquiries
  • Legal agreements
  • Lease contracts
  • Inspection reports
Supporting AI Applications for

Automation of property classification, streamlining client interactions, and enhancing AI models for property valuation and customer sentiment analysis.

Text Data Annotation for
Supporting AI Applications for
  • Customer reviews
  • Booking inquiries
  • Chat transcripts
  • Survey responses
  • Travel itineraries
Supporting AI Applications for

Improved customer experience through better chatbot support, personalized recommendations, and sentiment analysis for feedback management.

Text Data Annotation for
Supporting AI Applications for
  • Clinical notes
  • Medical literature
  • Patient records
  • Diagnostic reports
  • Drug prescriptions
  • Research papers
Supporting AI Applications for

Diagnosis support, drug discovery, patient risk assessment, and automating clinical decision-making.

Text Data Annotation for
Supporting AI Applications for
  • Insurance claims
  • Policy documents
  • Customer inquiries
  • Legal disclaimers
  • Assessment reports
Supporting AI Applications for

Automating claims validation, streamlining revenue cycle management, and optimizing customer support models for faster response times.

Text Data Annotation for
Supporting AI Applications for
  • Contracts
  • Case studies
  • Regulatory guidelines
  • Legal opinions
  • Court transcripts
Supporting AI Applications for

Legal text analysis, contract review automation, compliance risks identification, and legal research.

Text Data Annotation for
Supporting AI Applications for
  • User-generated tweets and posts
  • Comments and replies
  • Hashtags and metadata
  • Reviews on Instagram, X, Facebook, Reddit, etc.
Supporting AI Applications for

Content moderation, sentiment analysis, trend detection, targeted advertising, and enhancing user engagement strategies.

BIAS-FREE TRAINING DATASETS

Build Fair and Inclusive AI Models

Mitigating AI Bias through Expert-Led Text Data Labeling

AI models often inherit and perpetuate biases present in the data they are trained on, especially if diversity-related disparities are introduced during data collection. This could lead to inaccurate predictions, unfair decisions, and reputational risks. The bigger challenge- automated text annotation tools usually lack the contextual adaptability required to weed this bias out of the training data.

Our domain specialists bring human judgment into the annotation process to ensure that such hidden biases are identified and eliminated. They are trained to identify and flag:

Gender and demographic biases in language

Cultural assumptions and stereotypes

Regional and dialectal variations

Context-specific sensitivities

Implicit bias in terminology

Socioeconomic indicators

PLATFORMS AND TOOLS

Expertise in Top Text Annotation Tools

Our team of over 120 annotators can work with any text data labeling tool, including proprietary systems. We support AI text annotation, semantic tagging, and entity recognition annotation across multiple formats, from PDFs to complex data structures, ensuring that outputs are generated in the custom formats you prefer.

labelbox icon
Label Studio icon
CVAT icon
superannotate icon
v7 icon
Doccano icon
PEOPLE ALSO ASK

FAQs: Text Labeling Services

How do you handle edge cases and ambiguous text that typically confuse automated text annotation tools?

We employ a three-tier review system for handling edge cases. First, we use AI text annotation tools for pre-annotation to identify potential ambiguities. Then, domain specialists apply context-specific judgment, especially in areas like semantic tagging and data categorization. Finally, senior annotators validate these decisions. All edge cases are documented to ensure consistent handling in future projects, enhancing the reliability of AI training data annotation.

How do you ensure annotators understand the context of industry-specific text, especially in technical or specialized fields?

We involve subject matter experts on such projects to ensure specialized text data labeling. We create custom annotation guidelines with the client team to ensure domain-specific terms and abbreviations are correctly interpreted and labeled. Regular knowledge-sharing sessions and annotator training are also scheduled as required.

Can you handle text data with multiple layers of annotation requirements (e.g., entity recognition + sentiment + intent)?

Yes, we specialize in multi-layer annotation projects, like entity recognition annotation, sentiment analysis annotation, or intent analysis. Our workflow supports concurrent annotation layers while maintaining contextual awareness across layers. We can also integrate metadata tagging to map relationships between various labeled elements, providing a comprehensive text labeling solution.

What kind of turnaround time can we expect for our text annotation project?

Our company has dedicated teams capable of handling 100,000+ annotations per week, ensuring prompt delivery for time-sensitive projects. For large-scale text data preprocessing or multi-language text annotation, we can adjust resources to accommodate urgent timelines while maintaining annotation accuracy and quality.

Our AI models require multilingual text data annotation. Can you handle it?

Yes, we have specialist annotators skilled in multi-language text annotation who understand the cultural and contextual nuances across languages. This expertise ensures accurate text analysis and labeling for AI, allowing your AI models to perform effectively in diverse regions and languages.

What is the process for outsourcing text annotation services to SunTec Data?

To get started, email us at info@suntecdata.com or fill out our contact form with your details. We’ll provide a sample of text data labeling and a customized quote depending on your requirements. Once approved, we'll proceed with signing the contract and NDA, and quickly move on to delivering high-quality text annotation services.
OUTSOURCE TEXT ANNOTATION SERVICES

Maximize Efficiency, Minimize Friction

Get Flexible Text Data Labeling Services

We don’t just follow a one-size-fits-all approach. We develop custom annotation workflows aligned with your project goals. Whether you use proprietary text annotation platforms, APIs, or custom software, we adapt to your requirements. We also provide you with direct access to our annotation progress, allowing for real-time adjustments and collaborative fine-tuning to meet your evolving needs.

Get the most out of your AI initiatives with our human-in-the-loop text annotation services. See the difference we can make with a free sample of text data labeling.