Paper: Generating a Non-English Subjectivity Lexicon: Relations That Matter

ACL ID E09-1046
Title Generating a Non-English Subjectivity Lexicon: Relations That Matter
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

We describe a method for creating a non- English subjectivity lexicon based on an English lexicon, an online translation ser- vice and a general purpose thesaurus: Wordnet. We use a PageRank-like algo- rithm to bootstrap from the translation of the English lexicon and rank the words in the thesaurus by polarity using the net- work of lexical relations in Wordnet. We apply our method to the Dutch language. The best results are achieved when using synonymy and antonymy relations only, and ranking positive and negative words simultaneously. Our method achieves an accuracy of 0.82 at the top 3,000 negative words, and 0.62 at the top 3,000 positive words.