Shypd.aiThe largest open index of AI toolsTextClassificationBenchmark is an open-source benchmark for text classification in PyTorch. It includes various datasets and implements popular deep neural network models for performance comparison.
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TextClassificationBenchmark provides a comprehensive open-source benchmark for text classification tasks using PyTorch. It aims to include a wide range of text classification datasets, covering sentiment and topic classification in multiple languages like English and Chinese. The benchmark also offers basic word embeddings and implements numerous popular and state-of-the-art deep neural network models, including FastText, BasicCNN (KimCNN, MultiLayerCNN, Multi-perspective CNN), InceptionCNN, LSTM variants (BILSTM, StackLSTM), LSTM with Attention, Hybrids between CNN and RNN (RCNN, C-LSTM), Transformer, ConS2S, Capsule, and Quantum-inspired NN. This tool is ideal for researchers and developers looking to compare the performance of different text classification models on various datasets.