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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/flyliu2017/bert_modularized

https://github.com/folivetti/HBLCoClust

https://github.com/fongyk/graph-attention

https://github.com/foukonana/multi_emotions

https://github.com/foxer9developer/Face-Emotion-to-Emoji-Convertor

https://github.com/frankcgq105/BERTCHEN

https://github.com/frederick0329/text-classification-benchmark

https://github.com/freedomintelligence/sdak

https://github.com/fumiyo0607/ETM

https://github.com/g-eklund/bert_tutorial

https://github.com/g-k-l/dsi-arxiv-recommender

https://github.com/gal-dmitry/INTERRUPTION_DETECTION_PUBLIC

https://github.com/galkampel/HyperNetworks

https://github.com/ganeshjawahar/interpret_bert

https://github.com/gaussic/text-classification-cnn-rnn

https://github.com/gayanku/FDGATII

https://github.com/gbcolborne/lang_id

https://github.com/gchrysostomou/tasc

https://github.com/gcucurull/jax-gat

https://github.com/gcunhase/embracebert

https://github.com/gen3111620/DeepWalk

https://github.com/geondopark/ckd

https://github.com/georgetown-cset/ai-relevant-papers

https://github.com/getalp/disambiguate

https://github.com/gggggeun/DeepLearning_Architecture

https://github.com/giuseppefutia/link-prediction-code

https://github.com/globality-corp/sklearn-hierarchical-classification

https://github.com/gmichalo/question_identification_on_medical_logs

https://github.com/gmpoli/electramed

https://github.com/gmum/umwpl2021

https://github.com/goldenbili/Bert_Test2

https://github.com/goldenbili/Bert_Test3

https://github.com/goldenbili/bert_lamb_pretrain

https://github.com/gonsoomoon-ml/topic-modeling

https://github.com/goodluck4s/bert-

https://github.com/google-deepmind/xquad