Natural language-based automatic qualitative description of clusters

Germán Sánchez-Hernández, Núria Agell, Juan Carlos Aguado

Producció científica: Capítol de llibreContribució a congrés/conferènciaAvaluat per experts

Resum

In this paper the design of a natural language generation (NLG) system is introduced to qualitatively describe the most important characteristics of each class, cluster or segment previously defined by means of a classification or clustering process. An adaptation of a generic architecture for data-to-text systems consisting of four stages is proposed. It includes the detection of the most relevant patterns of the data and the definition of a grammar that generates the natural language description of the considered clusters. A case study addressing a challenge in a marketing environment is included. The study takes place in a business-to-business (B2B) environment, in which a firm distributes its products via other firms.

Idioma originalAnglès
Títol de la publicacióArtificial Intelligence Research and Development. Proceedings of the 16th International Conference of the Catalan Association for Artificial Intelligence
EditorsKarina Gibert, Vicent Botti, Ramon Reig-Bolano
Pàgines225-234
Nombre de pàgines10
DOIs
Estat de la publicacióPublicada - 2013
Publicat externament

Sèrie de publicacions

NomFrontiers in Artificial Intelligence and Applications
Volum256
ISSN (imprès)0922-6389

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