Analysis of negation cues for semantic orientation classification of reviews in spanish

Abstract

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.