I have used rasa-nlu toolkit for intent classification. I have trained the rasa model for 14 intents(greet, goodbye, affirm, deny, mood_great, mood_unhappy, currency, transfer_money, show_credit_cards, type_weather, temperature_weather, ask_forecast_weather). We can train the model just by adding intents to the nlu.md file.
I have added the trained model here. I have linked the model to the chatbot.py and the model will predict the intent of content spoken/written by the user.
I have used rasa-nlu toolkit for intent classification. I have trained the rasa model for 14 intents(greet, goodbye, affirm, deny, mood_great, mood_unhappy, currency, transfer_money, show_credit_cards, type_weather, temperature_weather, ask_forecast_weather). We can train the model just by adding intents to the nlu.md file. I have added the trained model here. I have linked the model to the chatbot.py and the model will predict the intent of content spoken/written by the user.