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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/yining610/ProtSi-Network

https://github.com/yipersevere/Deep-neural-network-based-algorithms-Performance-Comparison-for-Sentiment-Classification

https://github.com/yipersevere/sentiment-classification-with-deep-neural-networks

https://github.com/yipersevere/text-sentiment-classification-with-deep-neural-networks

https://github.com/yipersevere/thesis

https://github.com/yiyc-kor/bert-study

https://github.com/yiyixuxu/n-grammer-flax

https://github.com/yjxiao/ProdLDA

https://github.com/ykrmm/sota_gnn

https://github.com/ymcui/LAMB_Optimizer_TF

https://github.com/yongbowin/Bible_Text_GCN_annotation

https://github.com/yongjincho/cnn-text-classification-pytorch

https://github.com/yoonkim/CNN_sentence

https://github.com/young-zonglin/bilm-tf-extended

https://github.com/younggyoseo/rnn-auxiliary-loss

https://github.com/ypeleg/Fastformer-Keras

https://github.com/ypeleg/MinimalIsAllYouNeed

https://github.com/yschoi-nisp/AI-Grand-Challenge-2020

https://github.com/ysmiao/nvdm

https://github.com/yuanjing-zhu/elmo

https://github.com/yuanxiaosc/ELMo

https://github.com/yuehwai0508/Bert_TFL

https://github.com/yuelinan/c3vg

https://github.com/yuhangT/tf_bert

https://github.com/yukisea/ETM

https://github.com/yuntai/dacon-open

https://github.com/yururyuru00/GAT_pyG

https://github.com/yydai/bert_test

https://github.com/zaaztt/bert_chinese_example

https://github.com/zackhy/TextClassification

https://github.com/zafercavdar/fasttext-langdetect

https://github.com/zapplea/bert

https://github.com/zaradana/Fast_BERT

https://github.com/zcrwind/prefer

https://github.com/zenanz/ChemPatentEmbeddings

https://github.com/zepingyu0512/neuron-attribution