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). Temporal TF-IDF: A High Performance Approach for Event Summarization in Twitter. Retrieved May 24, 2026, from https://4ort.xyz/entity/temporal-tf-idf-a-high-performance-approach-for-event-summarization-in-twitter
MLA“Temporal TF-IDF: A High Performance Approach for Event Summarization in Twitter.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/temporal-tf-idf-a-high-performance-approach-for-event-summarization-in-twitter.
BibTeX@misc{4ortxyz_temporal-tf-idf-a-high-performance-approach-for-event-summarization-in-twitter_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Temporal TF-IDF: A High Performance Approach for Event Summarization in Twitter}}, year = {2026}, url = {https://4ort.xyz/entity/temporal-tf-idf-a-high-performance-approach-for-event-summarization-in-twitter}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Temporal TF-IDF: A High Performance Approach for Event Summarization in Twitter — https://4ort.xyz/entity/temporal-tf-idf-a-high-performance-approach-for-event-summarization-in-twitter (retrieved 2026-05-24)
