Papers, models and datasets for Aspect-Category Sentiment Analysis, which contains two fine-grained subtasks: Aspect Category Detection (ACD) and Aspect Category Sentiment Classification (ACSC).
- python 3.6
- pytorch 1.3.0
- allennlp 0.9.0
- SemEval-2014 Task 4
- SemEval-2014-Task-4-LAPT
- SemEval-2014-Task-4-REST
- 2018-aaai-Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis
- SemEval-2014-Task-4-REST-DevSplits
- 2018-acl-Aspect Based Sentiment Analysis with Gated Convolutional Networks
- SemEval-2014-Task-4-REST-Hard
- SemEval-141516-LARGE-REST-HARD
- SemEval-2015 Task 12
- SemEval-2015-Task-12-LAPT
- SemEval-2015-Task-12-REST
- SemEval-2015-Task-12-HOTEL
- SemEval-2016 Task 5
- SemEval-2016-Task-5-CH-CAME-SB1
- SemEval-2016-Task-5-CH-PHNS-SB1
- SemEval-2016-Task-5-LAPT-SB1
- SemEval-2016-Task-5-LAPT-SB2
- SemEval-2016-Task-5-REST-SB1
- SemEval-2016-Task-5-REST-SB2
- 2019-emnlp-A Challenge Dataset and Effective Models for Aspect Based Sentiment Analysis
- MAMSACSA
- MAMSATSA
- ae-lstm 2016-emnlp-Attention-based LSTM for Aspect-level Sentiment Classification
- at-lstm 2016-emnlp-Attention-based LSTM for Aspect-level Sentiment Classification
- atae-lstm 2016-emnlp-Attention-based LSTM for Aspect-level Sentiment Classification
- Heat 2017-CIKM-Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network
sh scripts/run.sh acsa/acac_pytorch/acsc_bootstrap.py --model_name Heat --current_dataset SemEval-2014-Task-4-REST-DevSplits --embedding_filepath glove.840B.300d.txt
sh scripts/run.sh acsa/acac_pytorch/acsc_bootstrap.py --model_name Heat --current_dataset SemEval-2014-Task-4-REST-DevSplits --embedding_filepath glove.840B.300d.txt --train False --visualize_attention True
Suggestions about adding papers are welcomed!
- 2016-emnlp-A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis paper
- 2016-emnlp-Attention-based LSTM for Aspect-level Sentiment Classification paper
- 2017-CIKM-Aspect-level Sentiment Classification with HEAT (HiErarchical ATtention) Network paper
- 2018-aaai-Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis paper
- 2018-acl-Aspect Based Sentiment Analysis with Gated Convolutional Networks paper
- 2019-AAAI-A Human-Like Semantic Cognition Network for Aspect-Level Sentiment Classification paper
- 2019-conll-Learning to Detect Opinion Snippet for Aspect-Based Sentiment Analysis paper
- 2019-emnlp-A Challenge Dataset and Effective Models for Aspect Based Sentiment Analysis paper
- 2019-emnlp-A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis paper
- 2019-ijcai-Earlier Attention Aspect-Aware LSTM for Aspect Sentiment Analysis paper
- 2019-naacl-Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence paper
- 2019-tkdd-Aspect Aware Learning for Aspect Category Sentiment Analysis paper
- 2020-nlpcc-Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks paper code
- 2020-emnlp-Multi-Instance Multi-Label Learning Networks for Aspect-Category Sentiment Analysis paper code
- 2017-wsdm-Deep Memory Networks for Attitude Identification paper
- 2018-emnlp-Joint Aspect and Polarity Classification for Adpect-based Sentiment Analysis with End-to-End Neural Networks paper
- 2019-www-Aspect-level Sentiment Analysis using AS-Capsules paper
- 2019-emnlp-CAN Constrained Attention Networks for Multi-Aspect Sentiment Analysis paper
- 2020-ccl-A Joint Model for Aspect-Category Sentiment Analysis with SharedSentiment Prediction Layer paper
Feel free to contribute!
You can raise an issue or submit a pull request, whichever is more convenient for you.
MIT License