From Genre Classification to Aspect Extraction: New Annotation Schemas for Book Reviews - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

From Genre Classification to Aspect Extraction: New Annotation Schemas for Book Reviews

Résumé

In this paper, new schemas for feature categorization in different kinds of reviews, in the domain of books, are presented, so aspect extraction techniques could be later applied. We deal here with two types of reviews: formal reviews about scholarly books, written by experts, and informal ones about fiction books, written by readers which are not necessarily highly qualified. Our final goal is to extract the most relevant aspects or features to which any opinion is expressed in these reviews, along with the sentiment associated, for later integrating it to book recommender systems, improving the quality of the recommendations. Throughout this paper, the need for different annotation schemas is proved, by developing a new review classification system, as well as making an analysis at lexical and semantic levels on both kinds of reviews, for finally concluding with the presentation of the new categorization schemas.
Fichier principal
Vignette du fichier
conference_041818.pdf (233.75 Ko) Télécharger le fichier
Loading...

Dates et versions

hal-02152592 , version 1 (22-01-2020)

Identifiants

Citer

Tamara Álvarez-López, Patrice Bellot, Milagros Fernandez-Gavilanes, Enrique Costa-Montenegro. From Genre Classification to Aspect Extraction: New Annotation Schemas for Book Reviews. 2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2018), Dec 2018, Santiago, Chile. pp.428-433, ⟨10.1109/WI.2018.00-57⟩. ⟨hal-02152592⟩
62 Consultations
190 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More