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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/mohamedateya/bert-fine-tuning-sentence-classification-for-cola

https://github.com/mohammadreza-Banaei73/INLP_neural_practical_session

https://github.com/mojave-pku/uniprompt

https://github.com/monologg/GoEmotions-pytorch

https://github.com/monologg/kobigbird

https://github.com/moontae/jsmf-raw

https://github.com/mrdbourke/tensorflow-deep-learning

https://github.com/mtanghu/LEAP

https://github.com/mthcom/hscore-dataset-pruning

https://github.com/mtzcorporations/nlp_teamjodka

https://github.com/muellerzr/CodeFest_2019

https://github.com/mukesh-mehta/VDCNN

https://github.com/musixmatchresearch/umberto

https://github.com/muzaluisa/Learning_Representations_for_Soft_Skill_Matching

https://github.com/mwydmuch/extremeText

https://github.com/myamamoto555/tf-bert

https://github.com/n-waves/multifit

https://github.com/nachiketaa/BERT-pytorch

https://github.com/nachiketaa/bert

https://github.com/nageshsinghc4/deepwrap

https://github.com/nalbarr/coursera-ai4med-course3

https://github.com/nanzhaogang/contrib/tree/master/application/fastformer-additive-attention-can-b-all-you-need

https://github.com/napakalas/NLIMED

https://github.com/navodhya/DMN

https://github.com/ncbi-nlp/BioSentVec

https://github.com/ncbi-nlp/BioWordVec

https://github.com/ncbi-nlp/ML_Net

https://github.com/neburseni/NLP

https://github.com/negarhdr/PGCN

https://github.com/nehasharma666/depression

https://github.com/nerdimite/bert-finetuning-webinar

https://github.com/nestle1993/SE16-Task6-Stance-Detection

https://github.com/neurips-anon-h1ndi29v/verbose-listops

https://github.com/newRevelation/DL

https://github.com/nextbigwhat-ai/sentiment-analysis-pytorch

https://github.com/nguyenvulebinh/vietnamese-roberta