Keywords for Bias

TL;DR

This paper evaluates various NLP methods for bias keyword detection, demonstrating that the proposed approach achieves comparable performance to state-of-the-art techniques across multiple benchmark datasets.

Contribution

The paper introduces a new NLP-based approach for bias keyword analysis and compares its effectiveness with existing methods.

Findings

Proposed approach performs comparably to state-of-the-art methods.

Evaluation conducted on multiple benchmark datasets.

The method effectively identifies bias-related keywords.

Abstract

This work proposes to analyse some keywords for bias analysis. For this, we are using several NLP approaches and compare them based on their capability of detecting keywords to analyse bias. The overall findings show that our proposed approach gives comparable results with the state-of-the-art approaches on different benchmark datasets.