TEXT DATA ANNOTATION SERVICES
Text Data Annotation Services by Pangeanic: a customized solution. Elevate Your Machine Learning Models
Looking for top-tier text data annotation solutions? Pangeanic offers tailored solutions for all your data annotation needs. Enhance your machine learning models with high-quality text data annotation services
Text Data Annotation Use Cases
Our multilingual text data team has offered text data annotation services in over 100 languages, dialects and linguistic variants!
Data annotation for information extraction on cryptocurrency from social media inputs, articles and websites.
Projects include: Text annotation services from users for eCommerce purposes; hate speech severity; tagging relevant information on mobile phone companies;
What makes us different?
We are developers of Natural Language Solutions. We used to be a language services company. We found that marrying both skills, our Data Department could offer text data annotation services for our government-funded research projects and to help other organizations improve their AI and specific Machine Learning projects.
Pangeanic has added our expertise in human-in-the-loop (HITL) quality control. Our PECAT tool allows for human review of machine-generated annotations to ensure the highest quality.
“We understand each client is different, each project is different and many projects are very specific. Our customized solutions make all the difference: PECAT is so flexible that it can be tailored to meet your specific labeling needs and requirements.”
Amando Estela - VP of Revenue
Discover its features:
Quality AI training
Equip your AI systems with the best training data.
Accurate and relevant results
Benefit from results that matter and are relevant to your needs.
Monolingual & Multilingual Annotation
Cater to a global audience with diverse linguistic support.
Enhance data quality with Human-in-the-loop oversight.
Versatile PECAT Tool
Supports diverse user profiles for varied annotation requirements.
PECAT: Our advanced text data annotation tool
Pangeanic’s proprietary tool, PECAT, not only facilitates monolingual and multilingual data labeling, but also integrates all the features you might expect from an NLP team that understands your needs: glossaries and regex for enhanced data labeling accuracy, access to LLMs or even your own Pre-labeling tools. Our experienced annotators ensure accurate and relevant results, while our PECAT tool provides advanced features for multilingual annotation and human-in-the-loop quality control.
Support for monolingual and multilingual databases
Glossaries and regular expressions
Quality control reports
Unlock the power of your data with text annotation
Text data annotation is a critical step in the development of machine learning models. By labeling data with relevant information, you can help your models understand the nuances of human language and improve their ability to perform Natural language processing (NLP) and AI applications such as:
Pangeanic offers a wide range of text data annotation services to meet your specific needs.
Our experienced annotators are trained to provide high-quality results that are accurate, relevant, and consistent.
Our text data annotation services include:
Named entity recognition (NER)
Part-of-speech (POS) tagging
Semantic role labeling
Key Benefits of Pangeanic’s Data Annotation Services
With Pangeanic, your ML project will obtain high-quality results. Our annotators are trained to provide accurate, relevant, and consistent results in many text data annotation projects, from classification of cryptocurrency documents to sentiment analysis, hate speech detection and data labeling for LLMs. Because of our roots as a translation services company and a developer of machine translation systems since 2010, we have built a massive network of freelance linguists and language-aware data annotators to offer full multilingual support in all text data annotation projects.
Why Choose Pangeanic’s Text Annotation Solutions?:
Data annotation is pivotal in refining Machine Learning (ML) models. Through meticulous labeling and feature identification within datasets, AI systems are empowered to discern patterns more effectively. This translates to:
Recognizing customer intent in messages.
Unveiling insights from user search behaviors.
Elevating your content strategy with keyword extraction.
In addition to these direct benefits, text data annotation can also help to improve the overall quality of information extraction systems. By providing models with high-quality training data, annotators can help them to learn to identify and extract information more accurately. This can lead to improved performance on a wide range of information extraction tasks. For example, text data annotation can be used to improve the accuracy of named entity recognition (NER), which is the task of identifying and classifying named entities in text. NER is a critical component of many information extraction systems, and improving its accuracy can lead to improved performance on tasks such as information retrieval, question answering, and machine translation.
Other example of how text data annotation can be used in information extraction:
Customer relationship management (CRM) systems: CRM systems use text data annotation to extract information from customer interactions, such as emails, phone calls, and social media posts. This information can then be used to create a more complete picture of each customer.
Fraud detection systems: Fraud detection systems use text data annotation to identify fraudulent transactions. For example, a fraud detection system might use text data annotation to identify transactions that are associated with known fraudulent email addresses or phone numbers.
Medical research: Medical researchers use text data annotation to extract information from medical records. For example, a medical researcher might use text data annotation to extract information about a patient's symptoms, diagnoses, and treatments.
Text data annotation is a valuable tool for improving the performance of information extraction systems. By providing models with high-quality training data, annotators can help them to learn to identify and extract information more accurately.
Learn how to achieve your project objectives with Pangeanic
Over 20 years of experience
At the forefront of NLP technologies
Security and Privacy
ISO-certified, guaranteeing quality and secure workflows
Customized solutions to fit your needs
European Commission MAPA Project
The European Commission's MAPA project uses Pangeanic's Data Annotation services to label named entities with a high level of granularity (nested elements).
Why Choose Pangeanic’s Text Annotation Solutions?:
At Pangeanic, our goal is to propel your business forward. By synergizing cutting-edge AI with human expertise, we deliver tailored annotation services that let you harness the true power of technology.
If you are looking for a reliable and experienced text data annotation provider, Pangeanic can help. Contact us today to learn more about our services and how we can help you achieve your machine learning goals.