High-level Features for Learning Subjective Language across Domains

In this paper, we propose to study the characteristics for analyzing subjective content in documents. For that purpose, we present and evaluate a novel method based on abstraction of nouns. By comparing state-of-the-art and the level of abstraction of nouns between three annotated corpora and texts downloaded from Wikipedia and Web Blogs, we show that, building data sets for the classification of opinionated texts can be done automatically from the web, at the document level. Moreover, we present accuracy levels within domains of 96.5% and across domains of 74.5%.

• Type: Journal
• Year: 2009
• Where: ICWSM
• Authors: Gaël Dias, Dinko Dimchev Lambov, Veska Noncheva
• Keywords: Accuracy Levels, ICWSM 2009, Internet Technology, Nouns, Subjective Content