Project-04-Cross-Lingual Sentiment Lexicon Generation Framework

Addressed the scarcity of annotated data in low-resource languages by developing an automated framework to generate Turkish sentiment lexicons from English resources. Implemented a novel triple unification process to map sense-level polarities to word-level scores and employed a multi-algorithm bilingual translation strategy to resolve semantic ambiguity. Supported by the TUBITAK 1001 research grant. (2016-2017)