Document - Lightweight random indexing for polylingual text classification

2017

Journal article Open Access

Lightweight random indexing for polylingual text classification

Moreo Fernandez A, Esuli A, Sebastiani F

Random indexing

Researchers from ISTI-CNR, Pisa (in a joint effort with the Qatar Computing Research Institute), have undertaken an effort aimed at producing more accurate and more efficient means of performing poly-lingual text classification, i.e., automatic text classification in which classifying text in one language can also leverage training data expressed in a different language.

Source: ERCIM NEWS, p. 41

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@article{oai:it.cnr:prodotti:374249,
	title = {Lightweight random indexing for polylingual text classification},
	author = {Moreo Fernandez A and Esuli A and Sebastiani F},
	year = {2017}
}