Recent advancements and challenges of NLP-based sentiment analysis: A state-of-the-art review论文
Natural Language Processing Journal2024引用: 233
A BERT Framework to Sentiment Analysis of Tweets论文
Sensors2023引用: 229
A Survey of Sentiment Analysis: Approaches, Datasets, and Future Research论文
Applied Sciences2023引用: 252
A deep learning-based model using hybrid feature extraction approach for consumer sentiment analysis论文
Journal Of Big Data2023引用: 216
Multimodal sentiment analysis based on fusion methods: A survey论文
Information Fusion2023引用: 295
Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects论文
Expert Systems with Applications2023引用: 216
A review on sentiment analysis from social media platforms论文
Expert Systems with Applications2023引用: 301
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges论文
ACM Computing Surveys2023引用: 305
Sentiment Analysis and Opinion Mining论文
2023引用: 532
Impact of word embedding models on text analytics in deep learning environment: a review论文
Artificial Intelligence Review2023引用: 245
Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations论文
Information Fusion2023引用: 396
Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification论文
Journal of King Saud University - Computer and Information Sciences2022引用: 279
Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition论文
IEEE Transactions on Affective Computing2022引用: 265
Deep Learning for Depression Detection from Textual Data论文
Electronics2022引用: 234
False idols: Unpacking the opportunities and challenges of falsity in the context of virtual influencers论文
Business Horizons2022引用: 273
The Biases of Pre-Trained Language Models: An Empirical Study on Prompt-Based Sentiment Analysis and Emotion Detection论文
IEEE Transactions on Affective Computing2022引用: 230
Disentangled Representation Learning for Multimodal Emotion Recognition论文
Proceedings of the 30th ACM International Conference on Multimedia2022引用: 224
A Review of the Trends and Challenges in Adopting Natural Language Processing Methods for Education Feedback Analysis论文
IEEE Access2022引用: 252
TETFN: A text enhanced transformer fusion network for multimodal sentiment analysis论文
Pattern Recognition2022引用: 253
Bots with Feelings: Should AI Agents Express Positive Emotion in Customer Service?论文
Information Systems Research2022引用: 246

第 1-20 条，共 890 条

上一页下一页