Text annotation for AI
Text annotation is the process of creating metadata in the form of labels for text data by tagging keywords, phrases, and sentences so that machine learning models can understand and communicate with humans using natural language.
Text annotation is used to train NLP algorithms used in chatbots, automated speech recognition (ASR) systems, search engines, virtual assistants, and more. It is also used to automate document reviews and to extract insights from large databases of information. To ensure accuracy, it is critical to work with native speakers so that the AI solution being developed will work effectively in the target market.
LXT for text annotation
Our text annotation
Named entity tagging/NER
With the accelerating volumes of data created daily and the number of potential threats on the rise, security is an increasing area of concern for organizations across all industries. Our platform and processes are designed to ensure the security of your data.
To meet the most stringent security requirements, our facilities are ISO 27001 certified and PCI DSS compliant. We also offer supervised transcription within a secure facility to safeguard your data. We will work closely with you to design a secure solution that meets your needs.