NER

Label Your Data has a wealth of knowledge when it comes to performing annotations for various NER queries in 42 different languages. Our team has labeled a vast amount of data for customer support projects (up to 50 000 chats in sentiment analysis) and fin-tech initiatives (up to 400 000 of bank transactions).

For the latter, we have processed 400 000 bank transactions, namely defining the merchant name, classifying them (i.e., the business or the private transaction), and highlighting such attributes as address, method of payment, category of the transaction, etc.