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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/NeuromorphicComputationResearchProgram/Learning-with-Holographic-Reduced-Representations

https://github.com/Nilanshrajput/Intent_classification

https://github.com/Nim-NLP/fastText

https://github.com/Nimesh-Patel/BERT

https://github.com/Niousha12/Text_Classification_via_GNN

https://github.com/Nirvanabc/sentence_classification

https://github.com/Nov05/Genre-Fiction-Classification

https://github.com/Nstats/bert_MRC

https://github.com/Nstats/bert_senti_analysis_ch

https://github.com/Nstats/my_bert

https://github.com/Omerktn/fastText-iterative

https://github.com/Onepierre/Hate_Speech_Detection

https://github.com/Osobarako/alduswarrensewell

https://github.com/OweysMomenzada/Evergreen-Content-Classifier-for-german-Text

https://github.com/OwinoMichael/FinBERT-Sentiment-Analysis-and-MTS-Temp-Att.-LSTM-

https://github.com/PJamesY/category_classification-NLP-

https://github.com/PaddlePaddle/PaddleNLP

https://github.com/PaddlePaddle/PaddleNLP/blob/develop/paddlenlp/transformers/roberta/modeling.py

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/few_shot/pet

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/chinesebert

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/roformer

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/language_model/xlnet

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/examples/sentiment_analysis/textcnn

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/paddlenlp/transformers/bigbird

https://github.com/PaddlePaddle/PaddleRec/tree/master/models/recall/deepwalk

https://github.com/PaddlePaddle/PaddleRec/tree/release/2.1.0/models/contentunderstanding/textcnn

https://github.com/PaddlePaddle/models

https://github.com/PaulEmmanuelSotir/DeepCV

https://github.com/PhamNguyen97/TSA_pytorch

https://github.com/PhamQuocHuy1101/UDA-Image-classification

https://github.com/PranavR-2001/Project_Med_Skim

https://github.com/PrashantRanjan09/Elmo-Tutorial

https://github.com/PrashantRanjan09/WordEmbeddings-Elmo-Fasttext-Word2Vec

https://github.com/PrideLee/sentiment-analysis

https://github.com/Priyanshiguptaaa/CoLA_Sentence_Classification_BERT

https://github.com/ProsusAI/finBERT