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This notebook explores using the SpaCy Chinese model to tokenize and analyze parts of speech for a short Buddhist text. Mistakes in the tags were corrected by hand to train an improved model for Pre-Modern Literary Chinese Texts. It was built with Pandas, SpaCy, and Xiaoquan Kong's Chinese SpaCy model. It implements a Part of Speech tagger and visualizations using diSplaCy.
Sentiment analysis with dependency tree.
Displaying Spacy's python package results on a simple web page - a nice poc of out of the box modle, changing the backend results are relatively easy