# Academic paper analysis

TF-ID is a series of fine-tuned object detection models used to extract tables and images from academic papers, solving the problem of automatic recognition of tables and images in academic papers.

A pre-trained topic modeling model based on the BERTopic framework, trained using approximately 30,000 abstracts of ArXiv papers, supporting multi-dimensional topic representation and classification