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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/dmlc/experimental-lda

https://github.com/dmlc/gluon-nlp

https://github.com/donghyeonk/fastText1607

https://github.com/dongjun-Lee/text-classification-models-tf

https://github.com/dongjun-Lee/transfer-learning-text-tf

https://github.com/doragd/text-classification-pytorch

https://github.com/dpalominop/ULMFit

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

https://github.com/dreasysnail/deconv_paragraph_represention

https://github.com/dreasysnail/textGAN_public

https://github.com/ds4dm/sGat

https://github.com/ds4dm/sparse-gcn

https://github.com/dtriepke/Graph_Convolutional_Network

https://github.com/duanchi1230/NLP_Project_AI2_Reasoning_Challenge

https://github.com/duyunshu/bert-sentiment-analysis

https://github.com/dzb1998/pyGAT

https://github.com/dzqjorking/transpose

https://github.com/eagle705/bert

https://github.com/eaishwa/quora-ques-pair-similarity

https://github.com/edisutoyo/satd-augmentation

https://github.com/elenalenaelena/machine-learning-viz

https://github.com/elijahcn/TextCNN-AdversarialTraining

https://github.com/emartinezs44/SparkGCN

https://github.com/ematvey/hierarchical-attention-networks

https://github.com/emorynlp/character-mining

https://github.com/enod/arxiv-nlp-notes

https://github.com/epcpu/deep-nlp-links

https://github.com/epfml/collaborative-attention

https://github.com/epfml/sent2vec

https://github.com/eric-erki/decaNLP

https://github.com/ericlee8/space

https://github.com/ericperfect/Bert_Position_BiLSTM_Attention_CRF_LSTMDecoder

https://github.com/ericxsun/fastText

https://github.com/erksch/fnet-pytorch

https://github.com/eske/multivec

https://github.com/eternityyw/tram-benchmark