WebThis work aims to investigate to what extent deep learning models can assist in understanding society’s attitude in social media toward COVID-19 pandemic. We employ two transformer-based models for fine-grained sentiment detection of Arabic tweets, considering that more than one emotion can co-exist in the same tweet. WebApr 13, 2024 · Sentiment classification is the process of assigning a positive, negative, or neutral label to a piece of user-generated content (UGC), such as a social media post, a comment, or a review.
Fine-grained Sentiment Classification using BERT IEEE
WebDOI: 10.1109/ICAICA50127.2024.9182678 Corpus ID: 221474850; Improving Fine-grained Text Sentiment Transfer for Diverse Review Generation @article{Sun2024ImprovingFT, title={Improving Fine-grained Text Sentiment Transfer for Diverse Review Generation}, author={Haili Sun and Yan Huang and Songfeng Lu}, journal={2024 IEEE International … WebFine-grained Text Sentiment Transfer(ACL 2024). Contribute to luofuli/Fine-grained-Sentiment-Transfer development by creating an account on GitHub. ian bohen cigar
Fine-grained Text Sentiment Transfer via Dependency Parsing
WebNov 16, 2024 · In this paper, we exploit a new direction named coarse-to-fine task transfer, which aims to leverage knowledge learned from a rich-resource source domain of the coarse-grained AC task, which is more easily accessible, to improve the learning in a low-resource target domain of the fine-grained AT task. To resolve both the aspect granularity … WebBERT to solve the fine-grained sentiment classification task. Experiments show that our model outperforms other popular models for this task without sophisticated architecture. We also demonstrate the effectiveness of transfer learning in natural language processing in the process. Index Terms—sentiment classification, natural language pro- WebNov 10, 2024 · Text style transfer is usually performed using attributes that can take a handful of discrete values (e.g., positive to negative reviews). In this work, we introduce an architecture that can leverage pre-trained consistent continuous distributed style representations and use them to transfer to an attribute unseen during training, without … ian bohen boy meets world