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Identifying patient experience from online resources via sentiment analysis and topic modelling

Research article (Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies, 2016) · cited 42× · AI/ML
academia openalex:W2559702348
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Identifying patient experience from online resources via sentiment analysis and topic modelling

Summary

Identifying patient experience from online resources via sentiment analysis and topic modelling is a scholarly article[1].

Key Facts

  • Identifying patient experience from online resources via sentiment analysis and topic modelling'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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APA 4ort.xyz Knowledge Graph. (2026). Identifying patient experience from online resources via sentiment analysis and topic modelling. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-patient-experience-from-online-resources-via-sentiment-analysis-and-topic-modelling
MLA “Identifying patient experience from online resources via sentiment analysis and topic modelling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-patient-experience-from-online-resources-via-sentiment-analysis-and-topic-modelling.
BibTeX @misc{4ortxyz_identifying-patient-experience-from-online-resources-via-sentiment-analysis-and-topic-modelling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying patient experience from online resources via sentiment analysis and topic modelling}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-patient-experience-from-online-resources-via-sentiment-analysis-and-topic-modelling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying patient experience from online resources via sentiment analysis and topic modelling — https://4ort.xyz/entity/identifying-patient-experience-from-online-resources-via-sentiment-analysis-and-topic-modelling (retrieved 2026-05-24)

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