Generating domain specific sentiment lexicons using the Web Directory

Abstract

In this paper we aim at proposing a method to automatically build a sentiment lexicon which is domain based. There has been a demand for the construction of generated and labeled sentiment lexicon. For data on the social web (E.g., tweets), methods which make use of the synonymy relation don't work well, as we completely ignore the significance of terms belonging to specific domains. Here we propose to generate a sentiment lexicon for any domain specified, using a twofold method. First we build sentiment scores using the micro-blogging data, and then we use these scores on the ontological structure provided by Open Directory Project, to build a custom sentiment lexicon for analyzing domain specific micro- blogging data.