Autores
Galicia Haro Sofía Natalia
Gelbukh Alexander
Título Analysis of Negation Cues for Semantic Orientation Classification of Reviews in Spanish
Tipo Revista
Sub-tipo SCOPUS
Descripción Lecture Notes in Artificial Intelligence
Resumen We study the effect of negation cues on semantic orientation prediction. State-of-the-art approaches to semantic orientation derivation are based on automatic classification. We analyze the use of negation cues as features for both supervised and unsupervised methods. We apply such methods on a collection of washing-machine reviews in Spanish. We compare the results of the two approaches and discuss the performance of each negation cue. We found that simple features performed similarly to using more resources.
Observaciones DOI 10.1007/978-3-319-27101-9_8
Lugar
País Alemania
No. de páginas 105–120
Vol. / Cap. Vol. 9414
Inicio 2015-12-10
Fin
ISBN/ISSN