Results 131 to 140 of about 21,648 (265)
SemEval-2015 Task 10: Sentiment Analysis in Twitter [PDF]
Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015), 2015 Sentiment analysis, sentiment towards a topic, quantification, microblog sentiment analysis; Twitter opinion ...
Rosenthal, Sara +5 more
openaire +3 more sources
Extracting knowledge from customer reviews: an integrated framework for digital platform analytics
International Transactions in Operational Research, Volume 32, Issue 4, Page 2061-2086, July 2025.Abstract Online review sites play a crucial role in shaping consumer purchasing decisions, making the analysis of customer feedback essential for businesses. Given the complexity of these reviews, often including both quantitative and qualitative data, advanced analytical frameworks are necessary.
Anastasios Kyriakidis +1 more
wiley +1 more source
IEEE AccessThis research addresses the challenge of multi-label emotion classification on imbalanced datasets using a BERT-based model. Emotion classification, essential for applications like social media analysis and sentiment monitoring, often suffers from class ...
Sandhya Ramakrishnan, L. D. Dhinesh Babu
doaj +1 more source
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity [PDF]
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016), 2016 Comunicació presentada al 10th International Workshop on Semantic Evaluation (SemEval-2016), celebrat els dies 16 i 17 de juny de 2016 a San Diego, Califòrnia.
Agirre, Eneko +5 more
openaire +2 more sources
Exploring Causal Learning Through Graph Neural Networks: An In‐Depth Review
WIREs Data Mining and Knowledge Discovery, Volume 15, Issue 2, June 2025.Graphical abstract of the survey with a taxonomical approach to causal learning with graph neural networks. ABSTRACT In machine learning, exploring data correlations to predict outcomes is a fundamental task. Recognizing causal relationships embedded within data is pivotal for a comprehensive understanding of system dynamics, the significance of which ...
Simi Job +6 more
wiley +1 more source
R2D2 at SemEval-2022 Task 6: Are language models sarcastic enough? Finetuning pre-trained language models to identify sarcasm [PDF]
, 2022 Mayukh Sharma +2 more
openalex +1 more source
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine Translation
, 2018 This paper demonstrates that word sense disambiguation (WSD) can improve neural machine translation (NMT) by widening the source context considered when modeling the senses of potentially ambiguous words.
Henderson, James +3 more
core +1 more source
Arabic Short‐Text Dataset for Sentiment Analysis of Tourism and Leisure Events
Expert Systems, Volume 42, Issue 5, May 2025.ABSTRACT The focus of this study is to present the detailed process of collecting a dataset of Arabic short‐text in the tourism context and annotating this dataset for the task of sentiment analysis using an automatic zero‐shot labelling technique utilising transformer‐based models.
Seham Basabain +4 more
wiley +1 more source
Expert Systems, Volume 42, Issue 2, February 2025.ABSTRACT Over the past decade, the proliferation of hateful and sexist content targeting women on social media has become a concerning issue, adversely affecting women's lives and freedom of expression. Previous efforts to detect online sexism have utilized monolingual ensemble transformers combined with data augmentation techniques that incorporate ...
Francisco Rodríguez‐Sánchez +2 more
wiley +1 more source
MarSan at SemEval-2023 Task 10: Can Adversarial Training with help of a Graph Convolutional Network Detect Explainable Sexism? [PDF]
, 2023 Ehsan Tavan, Maryam Najafi
openalex +1 more source