Named Entity Recognition
Financial data classification
Named-entity recognition (NER) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories. My project included NER from financial data corpus and performing intent recognition from the sentences as well, which was hosted as a web application online using flask for backend. The NER Model used simple transformers library to train the data. The f1 score achieved was 0.87 for fine tuning on roberta-base and 0.92 for roberta-large.
