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rasa
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I'd like to add another intent classification model here. Similar to the naive bayes model.
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Users misspell things. Having spell-check and synonyms helps a lot, but doesn't catch everything.
One solution would be to use the python metaphone package's implementation of the Double Metaphone algorithm.
At component train time, it could look at the normal entity lists, find the DM representation of all the synonyms, and store them.
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Code here was demonstration of article in Analytics Vidhya, written in 2017. Over time RASA APIs have changed. So need to update code accordingly.
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ThirdParty/index.js