Shypd.aiThe largest open index of AI toolsBert-TextClassification is an Open Source & Models tool that implements baseline models upon BERT for text classification. It explores methods to improve BERT's performance across various text classification tasks.
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Bert-TextClassification is an open-source project focused on applying BERT models to diverse text classification tasks. The repository provides implementations of several baseline models built upon BERT, including BertATT, BertCNN, BertCNNPlus, BertDPCNN, BertHAN, BertLSTM, BertOrigin, and BertRCNN, to explore and enhance text classification performance. It supports various datasets for sentiment analysis (IMDB, SST-2, Yelp), question classification (TREC, Yahoo! Answers), and topic classification (AG's News, DBPedia, CNews). The project emphasizes practical considerations like handling long text sequences and provides guidance on adapting the models to new datasets by converting them to a simple TSV format. It also includes scripts for running experiments and saving results, with a focus on reproducibility and analysis using TensorBoard.
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