An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis

Research article (Applied Soft Computing, 2017) · cited 37× · AI/ML
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An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis

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An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-approach-to-improve-the-accuracy-of-probabilistic-classifiers-for-decision-support-systems-in-sentiment-analysis
MLA “An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-approach-to-improve-the-accuracy-of-probabilistic-classifiers-for-decision-support-systems-in-sentiment-analysis.
BibTeX @misc{4ortxyz_an-approach-to-improve-the-accuracy-of-probabilistic-classifiers-for-decision-support-systems-in-sentiment-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An approach to improve the accuracy of probabilistic classifiers for decision support systems in sentiment analysis}}, year = {2026}, url = {https://4ort.xyz/entity/an-approach-to-improve-the-accuracy-of-probabilistic-classifiers-for-decision-support-systems-in-sentiment-analysis}, note = {Accessed: 2026-05-24}}
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