{"total":16,"rows":[{"id":"2304.06845","title":"SemEval-2023 Task 12: Sentiment Analysis for African Languages (AfriSenti-SemEval)","created":"2023-04-13","cited_by_count":41,"area":null},{"id":"2109.08256","title":"Ethics Sheet for Automatic Emotion Recognition and Sentiment Analysis","created":"2021-09-17","cited_by_count":22,"area":null},{"id":"2106.09790","title":"Multi-Task Learning and Adapted Knowledge Models for Emotion-Cause Extraction","created":"2021-06-17","cited_by_count":8,"area":null},{"id":"2604.07066","title":"SemEval-2026 Task 3: Dimensional Aspect-Based Sentiment Analysis (DimABSA)","created":"2026-04-08","cited_by_count":4,"area":null},{"id":"2104.10513","title":"How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies","created":"2021-04-21","cited_by_count":3,"area":null},{"id":"2310.20260","title":"Learning to Play Chess from Textbooks (LEAP): a Corpus for Evaluating Chess Moves based on Sentiment Analysis","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2310.20656","title":"Non-Compositionality in Sentiment: New Data and Analyses","created":"2023-10-31","cited_by_count":2,"area":null},{"id":"2109.13725","title":"Sentiment Analysis in Twitter for Macedonian","created":"2021-09-27","cited_by_count":1,"area":null},{"id":"2210.15172","title":"Dictionary-Assisted Supervised Contrastive Learning","created":"2022-10-27","cited_by_count":1,"area":null},{"id":"2302.03490","title":"Natural Language Processing for Policymaking","created":"2023-02-07","cited_by_count":1,"area":null},{"id":"2311.14727","title":"Optimal strategies to perform multilingual analysis of social content for a novel dataset in the tourism domain","created":"2023-11-20","cited_by_count":1,"area":null},{"id":"2402.14187","title":"From Adoption to Adaption: Tracing the Diffusion of New Emojis on Twitter","created":"2024-02-22","cited_by_count":1,"area":null},{"id":"2601.23022","title":"DimABSA: Building Multilingual and Multidomain Datasets for Dimensional Aspect-Based Sentiment Analysis","created":"2026-01-30","cited_by_count":1,"area":null},{"id":"2211.11246","title":"LSTM based models stability in the context of Sentiment Analysis for social media","created":"2022-11-21","cited_by_count":0,"area":null},{"id":"2401.07944","title":"SemEval-2017 Task 4: Sentiment Analysis in Twitter using BERT","created":"2024-01-15","cited_by_count":0,"area":null},{"id":"2503.10457","title":"Sentiment Analysis in SemEval: A Review of Sentiment Identification Approaches","created":"2025-03-13","cited_by_count":0,"area":null}],"next_cursor":null}