Lost in Translations? Building Sentiment Lexicons using Context Based Machine Translation

Sentiment Lexicons for Arabic Social Media

Existing Arabic sentiment lexicons have low coverage―with only a few thousand entries. In this paper, we present several large sentiment lexicons that were automatically generated using two different methods: (1) by us…

Sentiment Aware Neural Machine Translation

Sentiment ambiguous lexicons refer to words where their polarity depends strongly on con- text. As such, when the context is absent, their translations or their embedded sentence ends up (incorrectly) being dependent on …

SELF & FEIL: Emotion and Intensity Lexicons for Finnish

This paper introduces a Sentiment and Emotion Lexicon for Finnish (SELF) and a Finnish Emotion Intensity Lexicon (FEIL). We describe the lexicon creation process and evaluate the lexicon using some commonly available too…

Building Sentiment Lexicons for All Major Languages

Generating Sentiment Lexicons for German Twitter

Despite a substantial progress made in developing new sentiment lexicon generation (SLG) methods for English, the task of transferring these approaches to other languages and domains in a sound way still remains open. In…