Home › Entities › academia › Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework

Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework

Research article (Multimedia Tools and Applications, 2023) · cited 13× · AI/ML
academia openalex:W4384406306
Press Enter · cited answer in seconds

Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework

Summary

Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework is a scholarly article[1].

Key Facts

  • Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

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). Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework
MLA “Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework.
BibTeX @misc{4ortxyz_optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework}}, year = {2026}, url = {https://4ort.xyz/entity/optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Optimal e-learning course recommendation with sentiment analysis using hybrid similarity framework — https://4ort.xyz/entity/optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/optimal-e-learning-course-recommendation-with-sentiment-analysis-using-hybrid-similarity-framework · Last refreshed: