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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/DW-yejing/fasttext4j-jdk6

https://github.com/Dasol-Choi/DLFD

https://github.com/DataScienceNigeria/Supervised-NLP-from-Facebook-AI-Team

https://github.com/DataZwer/BaseTensorFlowModel

https://github.com/DataZwer/CNNTextClassification

https://github.com/Davidzhangyuanhan/NOAH

https://github.com/DeepGraphLearning/GMNN

https://github.com/Deepayan137/Adapting-OCR

https://github.com/DeligientSloth/QQsim

https://github.com/DeligientSloth/bert-tensorflow

https://github.com/Delta-ML/delta

https://github.com/DeokO/bert-excercise-ongoing

https://github.com/Derposoft/ai-educator

https://github.com/DevSinghSachan/investigating-text-classifiers

https://github.com/DevSinghSachan/ssl_text_classification

https://github.com/Diego999/pyGAT

https://github.com/DimasDMM/nlp-completer

https://github.com/DimasDMM/transformers

https://github.com/Doffery/BERT-Sentiment-Analysis-Amazon-Review

https://github.com/Domminique/Deploy-BERT-for-Sentiment-Analysis-with-FastAPI-

https://github.com/Dongcf/Pytorch_Bert_Text_Classification

https://github.com/DongjunLee/dmn-tensorflow

https://github.com/DongjunLee/text-cnn-tensorflow

https://github.com/DsSaurabh/SkimLit-Project

https://github.com/DylanCope/Image-Captioning-with-Bimodal-Transformers

https://github.com/EMNLP2019LSAN/LSAN

https://github.com/Eeun-ju/NLP-study

https://github.com/ElizaLo/Question-Answering-based-on-SQuAD

https://github.com/EmilyAlsentzer/clinicalBERT

https://github.com/EmjayAhn/SuperTML-pytorch

https://github.com/EngSalem/ArabicTextClassification

https://github.com/EngSalem/Text-Classification-of-the-shelf-with-a-normalizer-for-Arabic-text-

https://github.com/EngSalem/TextClassification_Off_the_shelf

https://github.com/Eric-Wallace/trickme-interface

https://github.com/EssayKillerBrain/NLP-BERT-Chinese

https://github.com/EthanCoder24/Protofomer-NLP