搜索aspect共有 25 个结果
1
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
2
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
3
Positive and negative samples allocation algorithm for object detection models incorporating ratio-prior and loss-aware
2023年第10期 : 3194-3200
doi:10.19734/j.issn.1001-3695.2023.01.0013
4
Affective text generation with hard constraints
2023年第6期 : 1648-1652
doi:10.19734/j.issn.1001-3695.2022.11.0551
5
Research on aspect sentiment triplet extraction based on MUBTM
2023年第5期 : 1416-1421
doi:10.19734/j.issn.1001-3695.2022.09.0468
6
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
7
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
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
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
16
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
17
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
18
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
19
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
20
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
21
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
22
Context-aware learning for aspect category sentiment classification
2021年第6期 : 1770-1774
doi:10.19734/j.issn.1001-3695.2020.06.0172
23
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
24
Aspect-level sentiment classification based on self-attention mechanism
2020年第11期 : 3227-3231,3245
doi:10.19734/j.issn.1001-3695.2019.07.0259
25
Deeper attention-based LSTM for aspect sentiment analysis
2019年第4期 : 1075-1079
doi:10.19734/j.issn.1001-3695.2017.11.0736