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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/bfopengradient/NLP_ROBERTA

https://github.com/bhacquin/UDA_pytorch

https://github.com/bharathrajcl/A-Robust-Hybrid-Approach-for-Textual-Document-Classification

https://github.com/bharathrajcl/Multimodal-deep-networks-for-text-and-image-based-document-classification

https://github.com/bhavitvyamalik/bert

https://github.com/bhoov/flyvec

https://github.com/bhuvanakundumani/sexist_rmks_classifier

https://github.com/bigheiniu/spamGAN

https://github.com/bigscience-workshop/biomedical

https://github.com/binhetech/bert-application

https://github.com/bino282/bert4news

https://github.com/bionlu-coling2024/biomed-ner-intent_detection

https://github.com/bit-ml/anoshift

https://github.com/bladesteam/blades

https://github.com/blawok/named-entity-recognition

https://github.com/blueberryc/pyGAT

https://github.com/bluejurand/Kaggle_QA_Google_Labeling

https://github.com/bmcclannahan/NLP-Sentiment

https://github.com/bnosac/ETM

https://github.com/boleima/topro

https://github.com/bombdiggity/paper-bag

https://github.com/bondfeld/BNC_idioms

https://github.com/bookingcom/ml-dataset-reviews

https://github.com/bourrel/French-News-Clustering

https://github.com/bowu/GraphSearch

https://github.com/bplank/teaching-dl4nlp

https://github.com/brandonserna/sentiment2emoji

https://github.com/breakend/pileoflaw

https://github.com/brianyan918/CNN-for-Sentence-Classification

https://github.com/brightmart/ai_law

https://github.com/brightmart/bert_customized

https://github.com/brightmart/bert_original

https://github.com/brightmart/roberta_zh

https://github.com/brightmart/text_classification

https://github.com/broccolik/BERT-NER

https://github.com/bung87/fastText