The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis
Pranav Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca J. Passonneau, Shomir Wilson
摘要
We conduct an inquiry into the sociotechnical aspects of sentiment analysis (SA) by critically examining 189 peer-reviewed papers on their applications, models, and datasets. Our investigation stems from the recognition that SA has become an integral component of diverse sociotechnical systems, exerting influence on both social and technical users. By delving into sociological and technological literature on sentiment, we unveil distinct conceptualizations of this term in domains such as finance, government, and medicine. Our study exposes a lack of explicit definitions and frameworks for characterizing sentiment, resulting in potential challenges and biases. To tackle this issue, we propose an ethics sheet encompassing critical inquiries to guide practitioners in ensuring equitable utilization of SA. Our findings underscore the significance of adopting an interdisciplinary approach to defining sentiment in SA and offer a pragmatic solution for its implementation.
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引用它的顶会 Paper4
- The "Colonial Impulse" of Natural Language Processing: An Audit of Bengali Sentiment Analysis Tools and Their Identity-based BiasesDipto Das, Shion Guha, Jed R. Brubaker, Bryan C. SemaanCHI 2024 · 被引用 15 次
- An Audit on the Perspectives and Challenges of Hallucinations in NLPPranav Narayanan Venkit, Tatiana Chakravorti, Vipul Gupta, Heidi Biggs 等EMNLP 2024 · 被引用 8 次
- Can Third Parties Read Our Emotions?Jiayi Li, Yingfan Zhou, Pranav Narayanan Venkit, Halima Binte Islam 等ACL 2025 · 被引用 5 次
- Race and Privacy in Broadcast Police CommunicationsPranav Narayanan Venkit, Christopher Graziul, Miranda Ardith Goodman, Samantha Nicole Kenny 等CSCW 2024 · 被引用 4 次
它引用的顶会 Paper4
- Context-Guided BERT for Targeted Aspect-Based Sentiment AnalysisZhengxuan Wu, Desmond C. OngAAAI 2021 · 被引用 90 次
- Language (Technology) is Power: A Critical Survey of "Bias" in NLPSu Lin Blodgett, Solon Barocas, Hal Daumé III, Hanna M. WallachACL 2020 · 被引用 68 次
- Mitigating Sentiment Bias for Recommender SystemsChen Lin, Xinyi Liu, Guipeng Xv, Hui LiSIGIR 2021 · 被引用 31 次
- Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe, Jatinder SinghCHI 2023 · 被引用 31 次
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