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

, , and . SemEval@NAACL-HLT, page 42-51. The Association for Computer Linguistics, (2016)

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AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages., , , , , , , , , and 16 other author(s). CoRR, (2023)Experiments with three approaches to recognizing lexical entailment., and . Nat. Lang. Eng., 21 (3): 437-476 (2015)NRC-Canada-2014: Detecting Aspects and Sentiment in Customer Reviews., , , and . SemEval@COLING, page 437-442. The Association for Computer Linguistics, (2014)SemEval-2015 Task 10: Sentiment Analysis in Twitter., , , , , and . SemEval@NAACL-HLT, page 451-463. The Association for Computer Linguistics, (2015)Crowdsourcing a Word-Emotion Association Lexicon., and . Comput. Intell., 29 (3): 436-465 (2013)Geographic Citation Gaps in NLP Research., , , and . EMNLP, page 1371-1383. Association for Computational Linguistics, (2022)D3: A Massive Dataset of Scholarly Metadata for Analyzing the State of Computer Science Research., , , and . LREC, page 2642-2651. European Language Resources Association, (2022)PoKi: A Large Dataset of Poems by Children., and . LREC, page 1578-1589. European Language Resources Association, (2020)NLP Scholar: A Dataset for Examining the State of NLP Research.. LREC, page 868-877. European Language Resources Association, (2020)WordWars: A Dataset to Examine the Natural Selection of Words.. LREC, page 3087-3095. European Language Resources Association, (2020)