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). Selection of the most relevant terms based on a max-min ratio metric for text classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/selection-of-the-most-relevant-terms-based-on-a-max-min-ratio-metric-for-text-classification
MLA“Selection of the most relevant terms based on a max-min ratio metric for text classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selection-of-the-most-relevant-terms-based-on-a-max-min-ratio-metric-for-text-classification.
BibTeX@misc{4ortxyz_selection-of-the-most-relevant-terms-based-on-a-max-min-ratio-metric-for-text-classification_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selection of the most relevant terms based on a max-min ratio metric for text classification}}, year = {2026}, url = {https://4ort.xyz/entity/selection-of-the-most-relevant-terms-based-on-a-max-min-ratio-metric-for-text-classification}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Selection of the most relevant terms based on a max-min ratio metric for text classification — https://4ort.xyz/entity/selection-of-the-most-relevant-terms-based-on-a-max-min-ratio-metric-for-text-classification (retrieved 2026-05-24)
