Home ›
Entities
› academia
› Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
Research article (Education and Information Technologies, 2022) · cited 61× · AI/ML
Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques
Summary
Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques is a scholarly article[1].
Key Facts
Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-learners-topical-interests-from-social-media-content-to-enrich-their-course-preferences-in-moocs-using-topic
MLA“Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-learners-topical-interests-from-social-media-content-to-enrich-their-course-preferences-in-moocs-using-topic.
BibTeX@misc{4ortxyz_identifying-learners-topical-interests-from-social-media-content-to-enrich-their-course-preferences-in-moocs-using-topic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-learners-topical-interests-from-social-media-content-to-enrich-their-course-preferences-in-moocs-using-topic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying learners’ topical interests from social media content to enrich their course preferences in MOOCs using topic modeling and NLP techniques — https://4ort.xyz/entity/identifying-learners-topical-interests-from-social-media-content-to-enrich-their-course-preferences-in-moocs-using-topic (retrieved 2026-05-24)
