ABSA-PyTorch and Aspect-Based-Sentiment-Analysis
About ABSA-PyTorch
songyouwei/ABSA-PyTorch
Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。
Implements both BERT-based models (BERT-SPC, LCF-BERT, AEN-BERT) and non-BERT architectures (ASGCN, LSTM variants, memory networks) for fine-grained sentiment classification, supporting k-fold cross-validation and inference pipelines. Leverages GloVe embeddings for traditional models and transformer pre-training for BERT variants, with modular training infrastructure compatible with scikit-learn for evaluation.
About Aspect-Based-Sentiment-Analysis
1429904852/Aspect-Based-Sentiment-Analysis
A paper list for aspect based sentiment analysis.
This is a curated collection of academic papers focused on Aspect-Based Sentiment Analysis. It organizes research by specific subtasks, such as extracting aspect terms or classifying sentiments towards particular aspects. It helps natural language processing researchers quickly find relevant studies, datasets, and code implementations to advance their work in fine-grained sentiment analysis.
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