https://github.com/Meituan-Dianping/asap
공식 코드ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
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Aspect Category Sentiment Analysis
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Involves both detecting aspect-based categories and classifying the polarities of these categories. Therefore it combines the tasks of Aspect Category Detection (ACD) and Aspect Category Sentiment Classification (ACSC).
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/cuijin-23/ecan
공식 코드https://github.com/flak300S/emnlp2020_CNE-net
공식 코드https://github.com/hoangquy18/multimodal-aspect-category-sentiment-analysis
공식 코드https://github.com/l294265421/AC-MIMLLN
공식 코드Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis
https://github.com/l294265421/SCAN
공식 코드Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks
https://github.com/lgw863/acsa-generation
공식 코드Solving Aspect Category Sentiment Analysis as a Text Generation Task
https://github.com/nd-ball/dspn
공식 코드https://github.com/sabyasachi-kamila/ax-mabsa
공식 코드AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
https://github.com/wxue004cs/GCAE
Aspect Based Sentiment Analysis with Gated Convolutional Networks
https://huggingface.co/datasets/jordiclive/FABSA
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.