Shypd.aiThe largest open index of AI toolssentiment_analysis_fine_grain is an open-source tool for multi-label classification using BERT. It enables fine-grained sentiment analysis and deployment for online prediction, with a focus on Chinese text.
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sentiment_analysis_fine_grain is an open-source GitHub repository providing resources for multi-label classification with BERT, specifically tailored for fine-grained sentiment analysis. It includes code for training models, deploying BERT for online prediction, and a tutorial for using BERT with Chinese text. The repository offers pre-trained models, data for fine-tuning and pre-training, and scripts for data preprocessing and model evaluation. It supports both BERT and TextCNN architectures, allowing users to experiment with different approaches to sentiment analysis. This tool is ideal for researchers and NLP engineers working on sentiment analysis tasks, particularly those involving Chinese language data.
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