GitHub / LaurentVeyssier / Text-Classification-with-3-key-NLP-techniques
Use Key NLP techniques to classify news articles into categories: Bag_of_Words (tf-Idf), word embeddings and BERT language model
Stars: 2
Forks: 0
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License: None
Language: Jupyter Notebook
Size: 25.8 MB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: about 1 year ago
Pushed at: about 4 years ago
Last synced at: about 1 year ago
Topics: bert-model, classification-model, distilbert, embeddings-word2vec, nlp-machine-learning, tensorflow, tfidfvectorizer
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