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bert-embedding

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JohnSnowLabs / nlu

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1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

sentiment-analysis text-classification entity-resolution nlu transformers language-detection pandas named-entity-recognition text-summarization seq2seq lemmatizer spell-checker text-translation dependency-parsing sentiment-classifier natural-language-understanding sentence-embeddings t5 streamlit bert-embedding
  • Updated May 5, 2024
  • Python

kaledhoshme123 / Transformers-LSTM-with-XGBRegressor

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The proposed model is able to predict the evaluation of both grammatical coherence, vocabulary and grammatical conventions, so that the evaluation can give each of those criteria a value between 1 and 5, I did not treat the system as a classification process, but rather it was treated as a REGRESSION issue

nlp natural-language-processing tensorflow keras regression bert bert-embedding
  • Updated Jan 9, 2023
  • Jupyter Notebook

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