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Building a Text Classification Engine for Chinese with Python
Автор: David Curran
Загружено: 2020-05-18
Просмотров: 228
Описание:
A quick walk through of the steps needed to build a text classification system for the Chinese language. This is for the sort of text sent to chatbots through instant messenger systems.
The steps described are
Read in data. Utterance, label;
Separate out words;
Turn into machine compatible format, e.g. word vector etc;
Carry out manipulations. Tf-idf, stopwords, bigrams, stemming etc
Test classifier. Blind set, k-fold (validation set) – which was covered in the video (“Improving text Datasets”)
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