SemEval-2016 Task 7: Determining Sentiment Intensity of English and Arabic Phrases

• DOI: 10.18653/v1/s16-1004
• Publication Date: 2016-07-14T08:07:26Z
• Authors: Svetlana Kiritchenko; Saif Mohammad; Mohammad Salameh
• Keywords: 0202 electrical engineering, electronic engineering, information engineering; 02 engineering and technology

We present a shared task on automatically determining sentiment intensity of a word or a phrase. The words and phrases are taken from three domains: general English, English Twitter, and Arabic Twitter. The phrases include those composed of negators, modals, and degree adverbs as well as phrases formed by words with opposing polarities. For each of the three domains, we assembled the datasets that include multi-word phrases and their constituent words, both manually annotated for real-valued sentiment intensity scores. The three datasets were presented as the test sets for three separate tasks (each focusing on a specific domain). Five teams submitted nine system outputs for the three tasks. All datasets created for this shared task are freely available to the research community.