End-to-End Text Data Services
Synthetic Generation, Collection, Annotation, Classification, and Model Development
High-Quality Text Annotation and Classification Services
With Innodata’s full suite of text annotation and classification services, you can scale your AI models and ensure model flexibility with high-quality annotated text data. Leverage Innodata’s deep annotation expertise to streamline text annotation and classification using active learning, NLP, and human experts-in-the-loop.
Data-Centric Approach
Our data-centric approach helps jump-start your models with the highest quality of labeled text data for your AI/ML models.
Multiple Configurations
With world-class workbenches, our services can be configurable to address any requirements for labeling and annotation, including support for any text data input format in 40+ languages.
Highly Secure
Multiple security features within our operations result in the strictest control and compliance in labeling or classifying your text data.
Industry-Specific
Ready
With our global workforce of 4,000+ domain-specific subject matter experts, you can rely on Innodata to annotate, classify, and validate exceptional text data for any industry-specific use case in any major language with confidence.
Quality Assurance, Validation, & Control
Innodata can support various annotation processes such as single pass, double pass, double pass blind, or inter-annotator agreement processes — giving you the highest-quality annotated data to ensure your AI/ML model accuracy.
Scalable Output In Any Format
Our services can simultaneously process thousands of text files from multiple sources across different locations. Additionally, Innodata can support, load, or build custom taxonomies and deliver annotated text data in formats such as JSON, HTML, or XML.
Our Expertise at Work Across Diverse Applications
Whether you need document classification or NER annotation to automate document recognition or build your NLP models, our best-in-class text annotation solution delivers ground truth data for any situation in 40+ languages.
Content Classification
Build binary classifiers and other classification models for automatically categorizing your content.
Intent Identification
Analyze the intent behind user-generated content to determine the proper response or course of action.
Content Detection
Automatically detect the types of content present in textual data to support content moderation, such as hate speech and other types of inappropriate content.
Semantic Identification
Build and train models to automatically extract concepts and entities, such as people, organizations, places, or topics from textual data.
Risk Assessment
Find and evaluate potential risks involved in an organization or undertaking. Identify and filter data based on types of risks.
Sentiment Analysis
Identify the sentiment behind your text to populate relevant metrics and other data analytics.
Relationship Mapping
Build relationships from your semantic data to support the development of knowledge maps.
Medical Data Research
Drug search, discovery, and complex annotation of medical literature, healthcare records, and medical data — including medical concepts and diseases.
Legal Data Analysis
Manage contract analysis and identify critical data from legislations, statutes, rules & regulations, circulars, and case law.
Business Intelligence
Identify meaningful and useful business data to enable more effective operational insights and decision-making. Support company data analysis, insight, and benchmarking.
Workbenches to Create your Training Datasets and Train Your AI Models
Annotate mentions of named entities in text data and documents, such as persons, organizations, facilities, locations, events, etc.
Identify annotated entities that play a role in an annotated event and assign the entity’s role in the event.
Label multiple identifiers via different agents and scoring for critical datasets. Integrate multiple hierarchical taxonomies for use in multi-label annotation.
Establish relationships between two or more distinct entities in structured and unstructured text data.
Group two or more annotated entities in your text data that refer to the same-named entity.
Classify any document and record with the relevant labels from custom taxonomies, helping to train and scale your AI/ML models faster.
Innodata's Text Data Services Puts the Power in Your Hands
Synthetic Generation, Collection, Annotation, Classification, and Model Development
Text Data Collection and Synthetic Generation Services
With Innodata’s full suite of text and document data collection/generation services, you can scale your AI models and ensure model flexibility with high-quality and diverse data in multiple languages, formats, and scenarios. Let Innodata’s global network of 4,000+ experts, including native speakers of 40+ languages, create the samples you need for any initiative.
Contracts
ISDA, GMRA, MRA, MSFTA, MSLA
Legal Data
Legislation, Regulatory, Case Law, SEC, International Tax Treaties
Financial Reports
Investor Presentations, Earnings Calls, SEC Documents
Patent Data
Scientific, Chemicals, Drugs, Engineering
Scientific Data
Journals, Abstracts, Conference Proceedings
Medical Records
Pharmacovigilance, Adverse Drug Events, Product Labels
Invoices & Bills
Credit Card Transactions, Corporate Invoices, Paystubs
News & Social
User Generated Content, Chat Bots, Fake News
Insurance Claims
Property and Casualty, Life, Medical, Assets
Text Data AI/ML Model Development
Scale your chatbots, recommendation engines, content moderation or record classification models, and other NLP initiatives with Innodata’s end-to-end services.
Whether you use our collected or annotated data, or need help utilizing your existing data to deploy or develop text or document AI/ML models, Innodata can help you expedite time-to-market. Utilize our world-class subject matter experts to build, train, and deploy models, augment your team, prevent model drift, and scale your models and operations faster.
Model Deployment
Innodata can build, train, and deploy customized text and document AI and ML models to support your use-case and specifications built on your desired framework.
Staff Augmentation
When you need to scale your team or deploy a one-off initiative, we have the resources to help. Use Innodata’s experts to avoid hiring, training, and developing staff internally.
Data Drift Prevention
We can help identify issues in data quality, integrity problems, demographic shifts, and changes in workforce bias/behavior. We then utilize various learning types, periodic retraining with new high-quality data, and the introduction of weighted data to get the confidence scores you need.
Text Data Services Customer Success Stories
Multilingual Content Moderation for Global Social Media Platform
A leading social media platform needed to improve modeling for search query relevance, ad review and placement, sentiment analysis and toxicity, and content moderation.
Risk Assessment Financial Annotation for Global Financial Firm
A global financial services firm required the annotation of technical financial documents to train its AI platform to conduct risk assessments for investment portfolios.
Multilingual Text Annotation for Leading Booking Engine Chatbot
A leading travel aggregator and booking engine required highly accurate annotated datasets for a booking assistant bot that operates in multiple languages.
Annotation for Life Science Data Provider’s Drug Search & Discovery
A leading abstract and indexing scientific research discovery solution required annotated data to enhance its platform for drug search/discovery and research funding.
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