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  1. quantify-bias-lbtq-USHistory quantify-bias-lbtq-USHistory Public

    Using the methods k-nearest neighbors, collocation, stereotype quantification from word embeddings, and concordance, I found that the language surround the word “gay” has significant shifts in the …

    Jupyter Notebook

  2. Latin-BERT-Classifier-Nero Latin-BERT-Classifier-Nero Public

    Introduces a neural-network that classifies a classical Latin sentence as either historical text or mythological text. Uses this model to investigate whether primary Latin sources on Nero more rea…

    Jupyter Notebook 1

  3. NLP-Email-Spam-Classifier NLP-Email-Spam-Classifier Public

    Originally coded in PyCharm, transferred to Colab

    Jupyter Notebook