Text Annotation Services
We annotate and add the right metadata to each sentence of your texts to make them comprehensible to AI-driven machines using NLP. The important keywords in a text can be understood by AI-driven machines only through text annotation services. We have experts who can develop high-quality training data for NLP-based machine learning (ML) models.
Core Capabilities
Advanced technology built for enterprise scale.
Text Categorization
We allow you to automatically or manually categorize text for NLP models. ML models can identify topics or themes as per text categorization process in a vast array of documents. This process is used quite often in web search engines, document management systems, and other NLP applications.
Semantic Annotation
ML and NLP models rely to a great extent on semantic annotation for understanding the meaning and context of languages. It can be used for improving the accuracy of ML algorithms that employ NLP. We specialize in semantic tags in text annotation datasets to assist ML models make more accurate predictions.
Phrase Chunking
This involves grouping words by annotating and labeling them into meaningful chunks. This process is used to preprocess natural language data for ML models which include identifying phrases that contain multiple words like nouns, verbs, and idioms.
Entity Linking
It is a process that links entities in a text to a specific item in a knowledge base. It is accomplished through text annotation tools which enrich the model's understanding of the text and improve the accuracy of text classification models.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Robotics
NLP permits computers and robots to interpret and comprehend natural language. It enables analysis of text and speech for processing commands and producing responses.
Self Driving
It is possible to detect traffic signs across highways and lanes using computer vision algorithms based on text annotation.
Healthcare
Healthcare operations and patient outcomes are enhanced through addition of text annotations to databases on health.
Finance
Text annotation is used for automating complicated and redundant processes, limiting paperwork, minimizing the time taken for disbursing loans, predicting repayability, and a lot more.
E-Commerce
Text annotation can be used for enhancing shopping experience by annotating customer reviews and comments.
Social Media
It can be used to convert acronyms, abbreviations, and emoticons found in consumer stories on social media platforms into structured data.
Branding & Promotion
It can be used for creating slogans and marketing copies when used in combination with language modeling and generation.
Insurance
It can be used by insurance companies to minimize risk and enhance efficiency by extracting details from application forms and adjuster notes.
Biomedical
Text annotation is useful in finding cancer genes, proteins in large pharmaceutical libraries by identifying proteins, medications, genes, chemicals, and diseases.