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Estimating Sentiment via Probability and Information Theory

Research article (Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016) · cited 17× · AI/ML
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Estimating Sentiment via Probability and Information Theory

Summary

Estimating Sentiment via Probability and Information Theory is a scholarly article[1].

Key Facts

  • Estimating Sentiment via Probability and Information Theory's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Estimating Sentiment via Probability and Information Theory. Retrieved May 24, 2026, from https://4ort.xyz/entity/estimating-sentiment-via-probability-and-information-theory
MLA “Estimating Sentiment via Probability and Information Theory.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/estimating-sentiment-via-probability-and-information-theory.
BibTeX @misc{4ortxyz_estimating-sentiment-via-probability-and-information-theory_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Estimating Sentiment via Probability and Information Theory}}, year = {2026}, url = {https://4ort.xyz/entity/estimating-sentiment-via-probability-and-information-theory}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Estimating Sentiment via Probability and Information Theory — https://4ort.xyz/entity/estimating-sentiment-via-probability-and-information-theory (retrieved 2026-05-24)

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