# Financial text analysis

A zero-shot classification model fine-tuned based on roberta-base-zeroshot-v2.0-c, enhanced with SmartShot method and synthetic data

BERTopic is a flexible and modular topic modeling framework capable of generating easily interpretable topics from large datasets.

This model is fine-tuned from klue/roberta-base using mnli and xnli datasets from kor_nli, specifically designed for Korean zero-shot classification tasks.

A versatile large language model capable of handling various natural language processing tasks

A named entity recognition model fine-tuned based on EstBERT, used to identify three types of entities in Estonian texts: locations, organizations, and personal names.