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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/anshu123priya/Real-vs-Fake-Emotion-Challenge

https://github.com/answerdotai/modernbert

https://github.com/anthonyckleung/Transfer-Learning-in-Sentiment-Tweets

https://github.com/anton-bushuiev/ppiformer

https://github.com/anubhavmaity/Ag-News-Category-Classifier

https://github.com/anupamsingh610/bert_ner_stride

https://github.com/anutkk/RambaNet

https://github.com/anya-bel/vocamprove

https://github.com/apmoore1/language-model

https://github.com/appcoreopc/berty

https://github.com/arangoml/fastgraphml

https://github.com/arctic-yen/Google_QUEST_Q-A_Labeling

https://github.com/ardakdemir/my_bert_ner

https://github.com/arielsho/decomposition-table-reasoning

https://github.com/aris-ai/Audio-and-text-based-emotion-recognition

https://github.com/arkel23/PyTorch-Pretrained-ViT

https://github.com/arodri202/dl-final-project

https://github.com/arolihas/interpretable_deepPSL

https://github.com/artnitolog/diary

https://github.com/asad1996172/Authorship-attribution-using-CNN

https://github.com/asarigun/la-gcn-pytorch

https://github.com/asarigun/la-gcn-tensorflow

https://github.com/asarigun/nfc

https://github.com/asarigun/nfc-gcn

https://github.com/asgaardlab/test-case-similarity-technique

https://github.com/ashwin4glory/PFAM-amino-acid-domain-classification

https://github.com/asif-salim/GCN-Graph_Convolutional_Network

https://github.com/assulthoni/TweetSentimentIndoBERT

https://github.com/athms/learning-from-brains

https://github.com/atreyasha/spp-explainability

https://github.com/attardi/CNN_sentence

https://github.com/au1206/Convolutional-Neural-Networks-for-Sentence-Classification

https://github.com/audqhsid/-Review-CNN-for-Sentence-Classification

https://github.com/autobotasia/vibert

https://github.com/autumn0409/Log-based-Anomaly-Detection-System

https://github.com/avichaychriqui/HeBERT