Sentiment translation through multi-edge graphs

  • Authors:
  • Christian Scheible;Florian Laws;Lukas Michelbacher;Hinrich Schütze

  • Affiliations:
  • University of Stuttgart;University of Stuttgart;University of Stuttgart;University of Stuttgart

  • Venue:
  • COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
  • Year:
  • 2010

Quantified Score

Hi-index 0.00

Visualization

Abstract

Sentiment analysis systems can benefit from the translation of sentiment information. We present a novel, graph-based approach using SimRank, a well-established graph-theoretic algorithm, to transfer sentiment information from a source language to a target language. We evaluate this method in comparison with semantic orientation using pointwise mutual information (SO-PMI), an established unsupervised method for learning the sentiment of phrases.