Accuracy of Automated Sentiment Analysis
Article Properties
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LanguageEnglish
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DOI (url)
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Publication Date2019/01/01
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Journal
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Indian UGC (journal)
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Refrences58
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Citations7
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Christian Siebert
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Jochen Hartmann
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Mark Heitmann
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Christina Schamp
Cite
Siebert, Christian, et al. “Accuracy of Automated Sentiment Analysis”. SSRN Electronic Journal, 2019, https://doi.org/10.2139/ssrn.3489963.
Siebert, C., Hartmann, J., Heitmann, M., & Schamp, C. (2019). Accuracy of Automated Sentiment Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3489963
Siebert C, Hartmann J, Heitmann M, Schamp C. Accuracy of Automated Sentiment Analysis. SSRN Electronic Journal. 2019;.
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Attribute Sentiment Scoring with Online Text Reviews: Accounting for Language Structure and Missing Attributes | Journal of Marketing Research |
| 26 | 2022 |
| An empirical comparison of machine learning methods for text-based sentiment analysis of online consumer reviews | International Journal of Research in Marketing |
| 39 | 2022 |
| Global evidence of expressed sentiment alterations during the COVID-19 pandemic | Nature Human Behaviour |
| 55 | 2022 |
The Power of Brand Selfies | Journal of Marketing Research |
| 58 | 2021 |
Emergent linguistic structure in artificial neural networks trained by self-supervision | Proceedings of the National Academy of Sciences |
| 65 | 2020 |
Refrences Analysis
The category
Social Sciences: Commerce: Business 40
is the most frequently represented among the references in this article. It primarily includes studies from Journal of Marketing Research The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
How can entrepreneurs improve digital market segmentation? A comparative analysis of supervised and unsupervised learning algorithms | International Entrepreneurship and Management Journal |
| 3 | 2023 |
Critical reflections on three popular computational linguistic approaches to examine Twitter discourses | PeerJ Computer Science |
| 3 | 2023 |
| Adaptation to Remote Teaching during Spring 2020 Amidst COVID-19: Perspectives of Advanced Placement Statistics Teachers | Computers in the Schools |
| 3 | 2022 |
Textual Analysis in Accounting: What's Next?* | Contemporary Accounting Research |
| 23 | 2022 |
Quantifying gender biases towards politicians on Reddit | PLOS ONE |
| 3 | 2022 |
Citations Analysis
The category
Social Sciences: Commerce: Business 3
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Narratives, emotions and artificial intelligence: a reading of artificial intelligence from emotions and was published in 2021. The most recent citation comes from a 2023 study titled How can entrepreneurs improve digital market segmentation? A comparative analysis of supervised and unsupervised learning algorithms. This article reached its peak citation in 2022, with 3 citations. It has been cited in 7 different journals, 28% of which are open access. Among related journals, the International Entrepreneurship and Management Journal cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.