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Implicit Bias Detection in Sentiment Annotation Datasets and Algorithms

Affective Science

Sentiment Analysis in Social Media Data

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Affective Science › Sentiment Analysis in Social Media Data

Implicit Bias Detection in Sentiment Annotation Datasets and Algorithms

This research systematically identifies and quantifies demographic, cultural, and ideological biases embedded within sentiment annotation datasets and machine learning models. The investigation produces critical frameworks for bias measurement and proposes debiasing methodologies that enhance sentiment analysis fairness across diverse populations.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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