Sentiment Analysis 벤치마크
Sentiment Analysis on IMDb
Accuracy
- 2014-12-01 — seq2-bown-CNN: Accuracy 92.33
- 2016-02-07 — oh-LSTM: Accuracy 94.1
- 2017-05-29 — CEN-tpc: Accuracy 94.52
- 2017-12-01 — Block-sparse LSTM: Accuracy 94.99
- 2018-01-18 — ULMFiT: Accuracy 95.4
- 2019-04-29 — BERT large finetune UDA: Accuracy 95.8
- 2019-06-19 — XLNet: Accuracy 96.21
- 2024-03-23 — RoBERTa-large with LlamBERT: Accuracy 96.68
- 2025-10-30 — Enhancing Sentiment Classification with : Accuracy 97.072
| Rank | Model | Accuracy | Paper | Code | Year |
|---|---|---|---|---|---|
| 51 | Reverse DR-AGG | 44.5 | Information Aggregation via Dynamic Routing for Sequence Encoding | FudanNLP/Capsule4TextClassification · michael-wzhu/dynamic_routing_pytorch | 2018 |
| 52 | CISEA-MRFE 자동 추출 | 30.3 | Multi-refined Feature Enhanced Sentiment Analysis Using Contextual Instruction | 2025 |