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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/PumpkinYing/GAT

https://github.com/Qordobacode/fitbert

https://github.com/R1j1t/contextualSpellCheck

https://github.com/ROCm/flash-attention

https://github.com/RUCAIBox/LLMBox

https://github.com/RaRe-Technologies/gensim-data

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

https://github.com/RajasSU/Twitter-Sentiment-Analysis-using-ULMFiT

https://github.com/Raman-Raje/Machine-Reading-Comprehension-Neural-Question-Answer-

https://github.com/Ramos-Ramos/fruit-fly-net

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

https://github.com/RenXiangyuan/tf_bert

https://github.com/Rishit-dagli/Fast-Transformer

https://github.com/RituYadav92/Lightweighted-CNN-for-Document-Classification

https://github.com/Robotmurlock/Deepwalk-and-Node2vec

https://github.com/RohitGanji/NLP-Medical-Paper-Abstracts-Classification

https://github.com/RohitGanji/medical-paper-abstract-classification

https://github.com/RonRaifer/BERT-Ghazali

https://github.com/RundongChou/elmo-chinese-oversimplified

https://github.com/RxstydnR/Stock_BERT

https://github.com/SAP-samples/acl2019-commonsense

https://github.com/SAP-samples/acl2019-commonsense-reasoning

https://github.com/SCismycat/bert_code_view

https://github.com/SER-2020-Project-ZX/Reference

https://github.com/SVAIGBA/TwASP

https://github.com/SVAIGBA/WMSeg

https://github.com/SYangDong/bert-with-frozen-code

https://github.com/SamanJamalAbbasi/DRESS_DeepRL

https://github.com/SamanJamalAbbasi/seq2seq_auto-encoder

https://github.com/SambhawDrag/XLNet.jl

https://github.com/SanghunYun/UDA_pytorch

https://github.com/Sanyuan-Chen/RecAdam

https://github.com/SaraAmd/Semi-Supervised-Learning

https://github.com/SarangShaikh201/fastText

https://github.com/SasCezar/XWikiRE

https://github.com/Satan012/BERT