Building Sentiment Lexicons for All Major Languages (Information (Graph…
Building Sentiment Lexicons for All Major Languages
Building high-quality sentiment lexicon for 136 major languages
Through semantic links in our knowledge graph, words are able to extend their sentiment polarities to adjacent neighbors.
We experimented with both graph propagation algorithm (Velikovich et al., 2010) and label propagation algorithm (Zhu and Ghahramani, 2002; Rao and Ravichandran, 2009)
Sentiment analysis in a multilingual world remains a challenging problem, because developing language-specific sentiment lexicons is an extremely resource intensive process
Such lexicons remain a scarce resource for most languages.
New Sentiment Analysis Resources – We have generated sentiment lexicons for 136 major languages via graph propagation which are now publicly available
Large-Scale Language Knowledge Graph Analysis – We have created a massive comprehensive knowledge graph of 7 million vocabulary words from 136 languages with over 131 million semantic inter-language links,
Extrinsic Evaluation – We elucidate the sentiment consistency of entities reported in different language editions of Wikipedia using our propagated lexicons