This is the corresponding code for the book Transformers in Action
$ git clone https://github.com/Nicolepcx/Transformers-in-Action.gitBERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
用MLP、TextCNN、RNN、LSTM、GRU、Attention、RCNN、BERT做文本分类、情感分析，对比各模型于温泉旅游评论垂类语料下在情感分类任务上的表现
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Active Learning for Text Classification in Python
文本相似度（匹配）计算，提供Baseline、训练、推理、指标分析...代码包含TensorFlow/Pytorch双版本
A comparison and discussion of different NLP methods for 5-class sentiment classification on the SST-5 dataset.
Data from GitHub · snapshot Sep 24, 2026