2 papers
cs.CL2019
UniSent: Universal Adaptable Sentiment Lexica for 1000+ Languages
Ehsaneddin Asgari, Fabienne Braune, Benjamin Roth +2
In this paper, we introduce UniSent universal sentiment lexica for languages. Sentiment lexica are vital for sentiment analysis in absence of document-level annotations, a…
cs.CL2016
Comparing Fifty Natural Languages and Twelve Genetic Languages Using Word Embedding Language Divergence (WELD) as a Quantitative Measure of Language Distance
Ehsaneddin Asgari, Mohammad R. K. Mofrad
We introduce a new measure of distance between languages based on word embedding, called word embedding language divergence (WELD). WELD is defined as divergence between unified si…