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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/Johnnylyu/Text-Mining-and-Classification-for-Attain

https://github.com/Joppewouts/belabBERT

https://github.com/JoshuaTHLiu/DataScience

https://github.com/Julian1070/Deep-Learning

https://github.com/Jun-Zhang-32108/Sentiment-Analysis

https://github.com/JunnYu/RoFormer_pytorch

https://github.com/JunnYu/x-transformers-paddle

https://github.com/Jverma/cnn-text-classification-keras

https://github.com/KLUE-benchmark/KLUE-baseline

https://github.com/Kaimaoge/IGNNK

https://github.com/Kanishkparganiha/Named-Entity-Recognition-using-BERT-with-PyTorch

https://github.com/Karthik-Bhaskar/Context-Based-Question-Answering

https://github.com/Katsumata420/bert_mlm

https://github.com/KeithGalli/pycon2020

https://github.com/Kerram/Deephol-Bert-Zpp

https://github.com/Kevin-Vora/bert-embedding-gluonnlp-edit-

https://github.com/KifayatMsd/C-LSTM-text-classification

https://github.com/Kim-inhwan/Word2vec-CNN-for-classfication

https://github.com/KimMeen/GCN

https://github.com/Kinetikm/fastTextRelearning

https://github.com/Kinetikm/fasttextRelearnExperiment

https://github.com/KnightZhang625/BERT_TF

https://github.com/KomorebiLHX/Emotion-Recognition-in-Conversations

https://github.com/Kosuke-Szk/BERT-NER-ja

https://github.com/Kristof-Neys/GAT_Neo4j_DGL

https://github.com/Kyubyong/bert-token-embeddings

https://github.com/Lackel/DNA

https://github.com/LahiruSen/S-LSTM_Sinhala

https://github.com/LamLauChiu/Tensorflow_Learning

https://github.com/LautaroEst/efficient-reestimation

https://github.com/LawrenceDuan/myLASER

https://github.com/LazarusNLP/NusaBERT

https://github.com/Ldpe2G/AC-BLSTM

https://github.com/LeoWood/bert-horovod

https://github.com/LiamMaclean216/Pytorch-Transfomer

https://github.com/Linar23/Research_work