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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/rmenegaux/fastDNA

https://github.com/rnradon/gender_emotion_classification

https://github.com/rodrigopivi/aida

https://github.com/rohan400/PepperQA

https://github.com/rohanshad/cmr_transformer

https://github.com/romik9999/fasttext-1925f09ed3

https://github.com/roshaan7zafar/-MAX-Text-Sentiment-Classifier

https://github.com/rpryzant/causal-bert-pytorch

https://github.com/rpuiggari/bert2

https://github.com/rvstraalen/doc2vec-workshop

https://github.com/rwbfd/OpenCompetitionV2

https://github.com/ryokamoi/cnn_for_sentence_classification

https://github.com/s1998/All-but-the-top

https://github.com/sadrasafa/FlowGMM-Julia

https://github.com/sagjounkani/Dont-Stop-Pretraining-Use-Adapters-Instead

https://github.com/sagorbrur/codeswitch

https://github.com/sahanaramnath/bow-vs-graph-vs-seq-textclassification

https://github.com/sahil00199/KYC

https://github.com/sai-prasanna/suggestion-mining-semeval19

https://github.com/sajjjadayobi/ParsBigBird

https://github.com/salesforce/GeDi

https://github.com/salesforce/codet5

https://github.com/samirsahoo007/Audio-and-Speech-Processing

https://github.com/samwisegamjeee/pytorch-transformers

https://github.com/saproovarun/Google-Quest-Q-A

https://github.com/saraswat/munkhdalai-nse

https://github.com/saravanakumarjsk/BERT-collection

https://github.com/sarnthil/emotion-stimulus-detection

https://github.com/sarveshsparab/DeepElmoEmbedNer

https://github.com/saurabh-kataria/PERL-samples

https://github.com/saurabhgarg1996/calibration

https://github.com/saurabhkulkarni77/BERT_multilabel

https://github.com/saurabhnlp/bert

https://github.com/sayakpaul/Generating-categories-from-arXiv-paper-titles

https://github.com/sayani-kundu/11711-HateXplain

https://github.com/sb1992/NETL-Automatic-Topic-Labelling-