Published January 1, 2018
| Version v1
Conference paper
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A Cross-Lingual Approach for Building Multilingual Sentiment Lexicons
- 1. Hacettepe Univ, TR-06800 Ankara, Turkey
- 2. Univ Dusseldorf, DFG SFB 991, Dusseldorf, Germany
Description
We propose a cross-lingual distributional model to build sentiment lexicons in many languages from resources available in English. We evaluate this method for two languages, German and Turkish, and on several datasets. We show that the sentiment lexicons built using our method remarkably improve the performance of a state-of-the-art lexicon-based BiLSTM sentiment classifier.
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