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Text Classification

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 16
평가표: 101
보존된 평가 기록: 341

Text Classification is the task of assigning a sentence or document an appropriate category. The categories depend on the chosen dataset and can range from topics.

Text Classification problems include emotion classification, news classification, citation intent classification, among others. Benchmark datasets for evaluating text classification capabilities include GLUE, AGNews, among others.

In recent years, deep learning techniques like XLNet and RoBERTa have attained some of the biggest performance jumps for text classification problems.

<span style="color:grey; opacity: 0.6">( Image credit: Text Classification Algorithms: A Survey )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Text Classification

코드

https://github.com/Microsoft/AzureML-BERT

https://github.com/Mind23-2/MindCode-133

https://github.com/Mind23-2/MindCode-135

https://github.com/Mind23-2/MindCode-144

https://github.com/Mind23-2/MindCode-162

https://github.com/Mind23-2/MindCode-4/tree/main/gat

https://github.com/Mind23-2/MindCode-98

https://github.com/MindCode-4/code-11/tree/main/fastformer-additive

https://github.com/MindCode-4/code-3/tree/main/funnel

https://github.com/MindCode-4/code-4/tree/main/roberta_prelayernorm

https://github.com/MindCode-4/code-4/tree/main/roc_bert

https://github.com/MindCode-4/code-5/tree/main/xlnet

https://github.com/MindCode-4/code-7/tree/main/fastformer-additive

https://github.com/MindSpore-paper-code-3/code9/tree/main/soft_masked_bert

https://github.com/MindSpore-paper-code-3/code9/tree/main/textrcnn

https://github.com/MindSpore-scientific-2/code-12/tree/main/fastformer-additive

https://github.com/MindSpore-scientific-2/code-4/tree/main/GR-HSTU

https://github.com/MindSpore-scientific/code-7/tree/main/bert

https://github.com/MingyuLi19910814/C-LSTM-Tensorflow

https://github.com/MingyuLi19910814/Convolutional-Neural-Networks-for-Sentence-Classification-tf2

https://github.com/MirkoLenz/ReCAP-Argument-Graph-Retrieval

https://github.com/Misoknisky/Bert-MultiGpu

https://github.com/Mrjaggu/pfam_protein_sequence_classification

https://github.com/Mrzhang3389/text_class

https://github.com/MulukenW/test

https://github.com/NBAiLab/notram

https://github.com/NVIDIA/sentiment-discovery

https://github.com/Nalydy/doc2vec

https://github.com/NamanJain2050/sarcasm-detection

https://github.com/NamanJain2050/semeval-2014-task-9

https://github.com/NathanDuran/Sentence-Encoding-for-DA-Classification

https://github.com/Natooz/MidiTok

https://github.com/NatthanonNon/text-classification-benchmarks

https://github.com/Negus25/GAT-Mindspore

https://github.com/Negus25/MindSpore-CNN_sentence

https://github.com/NehaTamore/TextSimilarity