搜索sentiment analysis共有 54 个结果
搜索结果较多，本次只显示前50个结果。请尝试使用其他搜索词以获得更精确的结果。
1
Prompt-learning-based multimodal sentiment analysis under missing modalities
优先出版
2026年第6期 :
doi:10.19734/j.issn.1001-3695.2025.10.0430
2
Expert-driven multi-information domain collaborative multimodal sentiment analysis
优先出版
2026年第6期 :
doi:10.19734/j.issn.1001-3695.2025.10.0435
3
Multimodal sentiment analysis based on generative reconstruction and interactive self-mining in scenario of missing modalities
2026年第3期 : 664-671
doi:10.19734/j.issn.1001-3695.2025.07.0269
4
Multimodal sentiment analysis model based on unified alignment and multi-stage fusion
2026年第2期 : 342-352
doi:10.19734/j.issn.1001-3695.2025.06.0214
5
Sentiment analysis of multimodal adaptive feature fusion based on adversarial training
2025年第12期 : 3566-3573
doi:10.19734/j.issn.1001-3695.2025.05.0138
6
Multimodal sentiment analysis model based on multi-task joint learning and adaptive fusion
2025年第9期 : 2583-2589
doi:10.19734/j.issn.1001-3695.2025.03.0038
7
Aspect-based sentiment analysis based on syntactic dependency enhancement and aspect semantic focus
2025年第9期 : 2669-2675
doi:10.19734/j.issn.1001-3695.2025.03.0039
8
Multimodal aspect-level sentiment analysis based on cross-modal interaction Transformer
2025年第9期 : 2707-2713
doi:10.19734/j.issn.1001-3695.2024.11.0517
9
Subjective knowledge dialogue response generation model based on ABSA and dynamic few-shot prompting
2025年第6期 : 1706-1712
doi:10.19734/j.issn.1001-3695.2024.11.0468
10
Aspect-oriented affective knowledge enhanced for aspect-based sentiment analysis
2025年第4期 : 1073-1079
doi:10.19734/j.issn.1001-3695.2024.08.0294
11
Weakly supervised multimodal sentiment analysis based on deep fine-grained alignment of image and text
2025年第2期 : 419-424
doi:10.19734/j.issn.1001-3695.2024.07.0285
12
Three-level joint prompt-tuning implicit sentiment analysis method incorporating LLMs
2024年第10期 : 2900-2905
doi:10.19734/j.issn.1001-3695.2024.01.0021
13
Dual-channel graph convolutional network with word-order knowledge for aspect-based sentiment analysis
2024年第3期 : 779-785
doi:10.19734/j.issn.1001-3695.2023.07.0310
14
Text sentiment analysis based on BERT and hypergraph with dual attention network
2024年第3期 : 786-793
doi:10.19734/j.issn.1001-3695.2023.07.0311
15
Multimodal sentiment analysis based on non-text modality reinforcement and gating fusion method
2024年第1期 : 39-44
doi:10.19734/j.issn.1001-3695.2023.04.0213
16
Aspect-level multimodal sentiment analysis based on interaction graph neural network
2023年第12期 : 3683-3689
doi:10.19734/j.issn.1001-3695.2022.10.0532
17
Consistency based graph convolution network for multimodal emotion recognition in conversation
2023年第10期 : 3100-3106
doi:10.19734/j.issn.1001-3695.2023.02.0064
18
Multimodal sentiment analysis based on modal information interaction
2023年第9期 : 2603-2608
doi:10.19734/j.issn.1001-3695.2023.02.0050
19
Multimodal sentiment analysis based on cross-modal gating mechanism and improved fusion method
2023年第7期 : 2025-2030,2038
doi:10.19734/j.issn.1001-3695.2022.12.0766
20
Sentiment analysis model of opinion triplet based on position information
2023年第3期 : 676-681
doi:10.19734/j.issn.1001-3695.2022.07.0370
21
Aspect-based sentiment analysis based on local feature focusing
2023年第3期 : 682-688
doi:10.19734/j.issn.1001-3695.2022.07.0364
22
KENAOTE: multi-task learning model for knowledge augmented aspect and opinion pair extraction
2023年第2期 : 359-364
doi:10.19734/j.issn.1001-3695.2022.07.0326
23
Chinese aspect-based sentiment analysis integrating sentiment and topic information
2022年第12期 : 3614-3619,3625
doi:10.19734/j.issn.1001-3695.2022.05.0236
24
Handling contrastive sentences in sentiment analysis based on attention network
2022年第9期 : 2695-2700,2716
doi:10.19734/j.issn.1001-3695.2022.02.0052
25
Click prediction model based on product description
2022年第8期 : 2422-2426
doi:10.19734/j.issn.1001-3695.2022.01.0025
26
Aspect based sentiment analysis with progressive enhancement and graph convolution
2022年第7期 : 2037-2042
doi:10.19734/j.issn.1001-3695.2022.01.0005
27
Aspect level sentiment analysis with dependency tree enhanced attention model
2022年第6期 : 1656-1662
doi:10.19734/j.issn.1001-3695.2021.12.0629
28
MASGC: simple graph convolutional emotion analysis model with specific masking
2022年第4期 : 1049-1053
doi:10.19734/j.issn.1001-3695.2021.09.0400
29
Aspect-level sentiment analysis based on double-layer part-of-speech-aware and multi-head interactive attention mechanism
2022年第3期 : 704-710
doi:10.19734/j.issn.1001-3695.2021.08.0340
30
Multimodal sentiment analysis based on hybrid feature fusion of multi-level attention mechanism and multi-task learning
2022年第3期 : 716-720
doi:10.19734/j.issn.1001-3695.2021.08.0357
31
Aspect-based sentiment analysis based on attention network
2022年第2期 : 411-416
doi:10.19734/j.issn.1001-3695.2021.07.0297
32
Chinese online comments sentiment analysis based on weighted char-word mixture word representation
2022年第1期 : 31-36
doi:10.19734/j.issn.1001-3695.2021.06.0253
33
Combining dependency syntactic parsing with interactive attention mechanism for implicit aspect extraction
2022年第1期 : 37-42
doi:10.19734/j.issn.1001-3695.2021.06.0249
34
Aspect-based sentiment analysis based on graph neural network
2021年第12期 : 3574-3580,3585
doi:10.19734/j.issn.1001-3695.2021.05.0166
35
Aspect level sentiment analysis based on distance and graph convolution network
2021年第11期 : 3274-3278,3321
doi:10.19734/j.issn.1001-3695.2021.04.0150
36
Soft prototype enhanced adaptive loss model for aspect extraction
2021年第11期 : 3310-3315
doi:10.19734/j.issn.1001-3695.2021.04.0101
37
Chinese text sentiment analysis based on ELMo and Bi-SAN
2021年第8期 : 2303-2307
doi:10.19734/j.issn.1001-3695.2020.12.0543
38
Multi-relationship collaborative learning model for aspect extraction
2021年第8期 : 2328-2333
doi:10.19734/j.issn.1001-3695.2020.12.0412
39
Joint left and right attention mechanism for aspect-level text sentiment analysis
2021年第6期 : 1753-1758
doi:10.19734/j.issn.1001-3695.2020.07.0185
40
End-to-end multi-hop memory network for aspect-level sentiment analysis
2021年第5期 : 1409-1415,1427
doi:10.19734/j.issn.1001-3695.2020.06.0110
41
Research on image sentiment analysis based on multi-visual object fusion
2021年第4期 : 1250-1255
doi:10.19734/j.issn.1001-3695.2020.02.0087
42
Visual analysis of movie reviews sentiment for box office forecasting
2020年第10期 : 2945-2950
doi:10.19734/j.issn.1001-3695.2019.05.0196
43
Chinese text sentiment analysis based on character-level two-channel composite network
2020年第9期 : 2674-2678
doi:10.19734/j.issn.1001-3695.2019.04.0121
44
Multimedia sentiment analysis on microblog based on multi-feature fusion
2020年第7期 : 1935-1939,1951
doi:10.19734/j.issn.1001-3695.2018.12.0929
45
Text sentiment analysis based on hybrid mutual information algorithm
2020年第2期 : 337-341
doi:10.19734/j.issn.1001-3695.2018.08.0537
46
Personality-based microblog sentiment analysis model PLSTM
2020年第2期 : 342-346
doi:10.19734/j.issn.1001-3695.2018.07.0521
47
Target-specific sentiment analysis based on CRT mechanism hybrid neural network
2020年第2期 : 360-364
doi:10.19734/j.issn.1001-3695.2018.08.0538
48
Sentiment classification depth model based on word2vec and bi-directional LSTM
2019年第12期 : 3583-3587,3596
doi:10.19734/j.issn.1001-3695.2018.08.0599
49
Text sentiment analysis based on recurrent neural networks and attention model
2019年第11期 : 3282-3285
doi:10.19734/j.issn.1001-3695.2018.05.0300
50
Emoji-attentional neural network for microblog sentiment analysis
2019年第9期 : 2647-2650
doi:10.19734/j.issn.1001-3695.2018.03.0152
搜索结果较多，本次只显示前50个结果。请尝试使用其他搜索词以获得更精确的结果。