The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment Analysis Article Swipe
Pranav Narayanan Venkit
,
Mukund Srinath
,
Sanjana Gautam
,
Saranya Venkatraman
,
Vipul Gupta
,
Rebecca J. Passonneau
,
Shomir Wilson
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2310.12318
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2310.12318
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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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2310.12318
- https://arxiv.org/pdf/2310.12318
- OA Status
- green
- Cited By
- 1
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4387838221
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4387838221Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2310.12318Digital Object Identifier
- Title
-
The Sentiment Problem: A Critical Survey towards Deconstructing Sentiment AnalysisWork title
- Type
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preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-10-18Full publication date if available
- Authors
-
Pranav Narayanan Venkit, Mukund Srinath, Sanjana Gautam, Saranya Venkatraman, Vipul Gupta, Rebecca J. Passonneau, Shomir WilsonList of authors in order
- Landing page
-
https://arxiv.org/abs/2310.12318Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2310.12318Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2310.12318Direct OA link when available
- Concepts
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Sociotechnical system, Sentiment analysis, Government (linguistics), Computer science, Data science, Component (thermodynamics), Sociology, Epistemology, Knowledge management, Management science, Artificial intelligence, Economics, Philosophy, Linguistics, Physics, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.literature | 55 |
| abstract_inverted_index.sentiment, | 57, 85 |
| abstract_inverted_index.underscore | 115 |
| abstract_inverted_index.definitions | 80 |
| abstract_inverted_index.government, | 70 |
| abstract_inverted_index.recognition | 29 |
| abstract_inverted_index.utilization | 110 |
| abstract_inverted_index.encompassing | 101 |
| abstract_inverted_index.significance | 117 |
| abstract_inverted_index.sociological | 52 |
| abstract_inverted_index.applications, | 20 |
| abstract_inverted_index.investigation | 25 |
| abstract_inverted_index.peer-reviewed | 16 |
| abstract_inverted_index.practitioners | 106 |
| abstract_inverted_index.technological | 54 |
| abstract_inverted_index.characterizing | 84 |
| abstract_inverted_index.sociotechnical | 6, 39 |
| abstract_inverted_index.implementation. | 135 |
| abstract_inverted_index.interdisciplinary | 121 |
| abstract_inverted_index.conceptualizations | 61 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 7 |
| citation_normalized_percentile |