Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
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Updated
Dec 14, 2020 - Python
Sentential Semantic Similarity measurement library using BERT Embeddings for spatial distance evaluation.
This is a survey of morpheme segmentation techniques including 2 baselines (BertTokenizer, Morfessor 2.0) and 2 supervised (LSTM, Transformer).
A study on encoding english sentences to tensorflow vectors or tensors using pre-trained BERT model from the Hugging Face Library.
A django web backend server that has single api for collecting sentiment text as json format, analyze them with a huggingface pretrained model and return the sentiment of the text as a json response.
Important vs Ignore email classifier based on incoming email addresses. Bert tokenizer is used as a tokenization method and CNN network as the model. Framework used - Tensorflow 2.4
NLP tutorial on fine-tuning the BERT model to classify IMDb reviews: mixed, positive, negative.
A solution to the Kaggle competition ‘Contradictory, My Dear Watson’
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