Friday, May 1Digital Marketing Journals

text-clustering

Automatic Utterances Clustering for Chatbots | by Jinraj Jain
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Automatic Utterances Clustering for Chatbots | by Jinraj Jain

A custom python model which automatically clean up the utterances and generate the possible clusters and slots, making it easier for you in merging those clusters together to form as many intents as you need to feed a chatbot?To build a chatbot, I feel that the high-level steps we usually take are the following.Collect Utterances and Cleanup — This includes removing unwanted utterances, email ids, numeric and special charactersCreate Intents — Analyse the utterances and start clustering the related utterances together to form intents.Create Slots — Identify associated words in the utterances to form slots/entities.Select NLP — The core component that interprets the user's utterance and converts that language to structured inputs (Intents and Slots) the system can process. The top NLPs avai...