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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/llx666/git_demo

https://github.com/lmcango/YCNG-229

https://github.com/lmd1993/fastTextBoost

https://github.com/lonePatient/BERT-SDA

https://github.com/lonePatient/BERT-chinese-text-classification-pytorch

https://github.com/lonePatient/Bert-Multi-Label-Text-Classification

https://github.com/lonePatient/ERNIE-text-classification-pytorch

https://github.com/lonePatient/bert-sentence-similarity-pytorch

https://github.com/lonePatient/char-cnn-text-classification

https://github.com/longbowking/bert

https://github.com/longdt219/xlingualemb

https://github.com/louis-udm/ner-bert-crf

https://github.com/lovedavidsilva/bert_old_version

https://github.com/lppier/Topic_Modelling_Top2Vec_BERTopic

https://github.com/lrank/Linguistic_adversity

https://github.com/lrank/Robust-Representation

https://github.com/ltgoslo/assessing_and_probing_sentiment

https://github.com/lucidrains/block-recurrent-transformer-pytorch

https://github.com/lucidrains/fast-transformer-pytorch

https://github.com/lucidrains/flash-cosine-sim-attention

https://github.com/lucidrains/reformer-pytorch

https://github.com/lucidrains/rotary-embedding-torch

https://github.com/lucidrains/sinkhorn-transformer

https://github.com/luckyPT/jvm-ml

https://github.com/luckynozomi/PPI_Bert

https://github.com/luhuiguo/jfasttext

https://github.com/lukashedegaard/ride

https://github.com/lukecavabarrett/pna

https://github.com/lukemelas/PyTorch-Pretrained-ViT

https://github.com/lukexyz/Language-Models

https://github.com/luozhilin99/bert

https://github.com/lvyufeng/Cybertron/blob/master/cybertron/models/bert.py

https://github.com/lvyufeng/bert4ms

https://github.com/lvyufeng/bert4ms/blob/master/bert4ms/models/xlnet.py

https://github.com/lvyufeng/mindspore-nlp-tutorial

https://github.com/lyccol/CodeBERT-based-webshell-detection