Classification of Brand Names Based on n-Grams - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2010

Classification of Brand Names Based on n-Grams

Abstract

Supervised classification has been extensively addressed in the literature as it has many applications, especially for text categorization or web content mining where data are organized through a hierarchy. On the other hand, the automatic analysis of brand names can be viewed as a special case of text management, although such names are very different from classical data. They are indeed often neologisms, and cannot be easily managed by existing NLP tools. In our framework, we aim at automatically analyzing such names and at determining to which extent they are related to some concepts that are hierarchically organized. The system is based on the use of character n-grams. The targeted system is meant to help, for instance, to automatically determine whether a name sounds like being related to ecology.
Fichier principal
Vignette du fichier
lirmm-00582626v1.pdf (418.55 Ko) Télécharger le fichier
Origin Files produced by the author(s)
Loading...

Dates and versions

lirmm-00582626 , version 1 (07-10-2019)

Identifiers

Cite

Pattaraporn Warintarawej, Anne Laurent, Pierre Pompidor, Benedicte Laurent. Classification of Brand Names Based on n-Grams. SoCPaR: Soft Computing and Pattern Recognition, Dec 2010, Paris, France. ⟨10.1109/SOCPAR.2010.5685842⟩. ⟨lirmm-00582626⟩
59 View
124 Download

Altmetric

Share

Gmail Mastodon Facebook X LinkedIn More