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MLArtist / intent-detection-using-XLM-Roberta

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This repository is a comprehensive project that leverages the XLM-Roberta model for intent detection. This repository is a valuable resource for developers looking to build and fine-tune intent detection models based on state-of-the-art techniques.

flask natural-language-processing chatbot intent torch transformer natural-language-understanding conversational-ai intent-prediction intent-classification intent-detection spoken-language-understanding intent-recognition xlm-roberta xlmroberta roberta-large
  • Updated Feb 2, 2024
  • Jupyter Notebook

alessandromonolo / Descriptive-Texts-Classification-By-Usage-Purposes-Of-Estate-Properties

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The project aims to identify the best model for the classification of texts derived from descriptions of assets subject to Italian judicial auctions. The employed models include both conventional models, such as Logistic Regression, Naive Bayes, SVM, and XGBoost, and neural network models, such as Fasttext and XLM-Roberta.

python nlp text-classification svm tokenizer naive-bayes scikit-learn pytorch seaborn spacy xgboost logistic-regression fasttext tfidf xlm-roberta
  • Updated Dec 22, 2023
  • Jupyter Notebook

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