bert-keyword-extractor Open-source Keyword Extraction Model - Accurately Identify Key Information from Text

Bert Keyword Extractor

Developed by yanekyuk

A keyword extraction model fine-tuned based on bert-base-cased, excelling at identifying key information from text

Downloads 578

Release Time : 6/3/2022

Model Overview

This model achieves efficient keyword extraction by fine-tuning the BERT architecture, suitable for text analysis in fields like news and finance

High-precision Extraction

Achieves 0.8565 precision and 0.8874 recall on the evaluation set

Fine-tuning Optimization

Targeted fine-tuning based on bert-base-cased to enhance keyword extraction performance

Multi-metric Evaluation

Supports multi-dimensional performance evaluation including precision, recall, accuracy, and F1-score

Text Keyword Extraction

Entity Recognition

Information Summarization

News Analysis

Business News Keyword Extraction

Extract key information like company names and transaction amounts from M&A news

Successfully identified keywords such as 'Broadcom', 'VMware', and '$61 billion' in sample input

Financial Report Processing

Earnings Report Key Data Extraction

Automatically identify core data and metrics in financial reports

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	Accuracy	F1
0.1688	1.0	1875	0.1233	0.7194	0.7738	0.9501	0.7456
0.1219	2.0	3750	0.1014	0.7724	0.8166	0.9606	0.7939
0.0834	3.0	5625	0.0977	0.8280	0.8263	0.9672	0.8272
0.0597	4.0	7500	0.0984	0.8304	0.8680	0.9704	0.8488
0.0419	5.0	9375	0.1042	0.8417	0.8687	0.9717	0.8550
0.0315	6.0	11250	0.1161	0.8520	0.8839	0.9729	0.8677
0.0229	7.0	13125	0.1282	0.8469	0.8939	0.9734	0.8698
0.0182	8.0	15000	0.1341	0.8565	0.8874	0.9738	0.8717

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