The ICWSM 2010 JDPA Sentiment Corpus for the Automotive Domain

Abstract

This paper presents a rich annotation scheme for mentions, co-reference, meronymy, sentiment expressions, modifiers of sentiment expressions including neutralizers, negators, and intensifiers, and describes a large corpus annotated with this scheme. We describe how this corpus relates to recent, state-of-the-art work in sentiment analysis, and define the various annotation types, provide examples, and show statistics on occurrence and inter-annotator agreement. This resource is the largest sentiment-topical corpus to date and is publicly available. It helps quantify sentiment phenomena, and allows for the construction of advanced sentiment systems and enables direct comparison of different algorithms.