Natural Language Processing
We comprehend and annotate natural language processing (NLP) data. We offer the best NLP annotation tools for your computers, applications, and machine learning models to easily comprehend human languages and gain insight from text and audio data. The AI text annotation subject matter experts provide best NLP annotation & labeling solutions utilizing the most efficient NLP platforms.
Core Capabilities
Advanced technology built for enterprise scale.
Sentiment Analysis
NLP data annotators assign a sentiment label (positive, negative, or neutral) to text to train a model to automatically classify the sentiment of a text. Useful in social media monitoring and customer sentiment analysis.
Named Entity Recognition
NLP data annotators mark up entities in text (person names, locations, and organizations) to train a model to automatically identify and classify them. Handy in information extraction and document classification.
Part-of-Speech (POS) Tagging
NLP data annotators tag each word in a sentence with its corresponding part of speech (noun, verb, adjective, etc.). This is used to improve tasks such as parsing and information extraction.
Text Classification
NLP data annotators classify documents into pre-defined categories (spam vs. non-spam, news articles by topic, or customer support requests) by type. Used to route incoming customer requests.
Machine Translation
NLP data annotators provide translations of a source text to train a model to translate text from one language to another. Used for global businesses that need to translate content.
Speech Recognition
NLP data annotators transcribe spoken words into text to train a model to automatically recognize and transcribe speech. Used in applications like voice-activated assistants.
Data Collection & Curation
We collect and curate large amounts of data from various sources like text corpora, social media, and online reviews to support your NLP initiatives.
Rigorous Quality Control
We have developed processes for verifying the accuracy of annotations, identifying, and correcting errors in data to ensure the highest quality training data.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Healthcare
Use NLP annotation for analyzing medical records, clinical notes, and patient data to offer better patient care and treatment.
Finance
Use NLP annotation for analyzing financial reports, news articles, and social media data to predict market trends and identify investments.
Marketing
Use NLP annotation for analyzing social media data, customer reviews, and surveys to gain in-depth insight into customer preferences and behavior.
Government
Use NLP annotation for offering a robust solution for sensitive data which needs to be processed for the public sector at the federal, local, and state level.
E-Commerce
Use NLP annotation to study customer reviews, search queries, and product descriptions for optimizing search results and recommendations.
Education
Use NLP annotation for analyzing student feedback, course evaluations, and learning materials for improving learning resources.