Document - Optimizing text quantifiers for multivariate loss functions

2015

Journal article Open Access

Optimizing text quantifiers for multivariate loss functions

Esuli A., Sebastiani F.

Text quantification

Quantification - also known as class prior estimation - is the task of estimating the relative frequencies of classes in application scenarios in which such frequencies may change over time. This task is becoming increasingly important for the analysis of large and complex datasets. Researchers from ISTI-CNR, Pisa, are working with supervised learning methods explicitly devised with quantification in mind.

Source: ERCIM news 100 (2015): 49–49.

Publisher: ERCIM., Le Chesnay

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BibTeX entry

@article{oai:it.cnr:prodotti:294303,
	title = {Optimizing text quantifiers for multivariate loss functions},
	author = {Esuli A. and Sebastiani F.},
	publisher = {ERCIM., Le Chesnay},
	journal = {ERCIM news},
	volume = {100},
	pages = {49–49},
	year = {2015}
}