ABSA-PyTorch and ABSAPapers
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 ABSAPapers
ZhengZixiang/ABSAPapers
Worth-reading papers and related awesome resources on aspect-based sentiment analysis (ABSA). 值得一读的方面级情感分析论文与相关资源集合
This is a curated collection of significant research papers and resources focused on aspect-based sentiment analysis (ABSA), particularly aspect-term sentiment classification. It helps researchers, data scientists, and NLP practitioners stay current with the field's advancements. The resource provides direct access to academic papers and associated code for various models.
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