aifenaike/Intent-Recognition-Using-BERT
Transformer-based Model to recognize any of 7 unique intents from the Snips personal voice assistant.
This project helps conversational AI designers and developers to accurately identify the specific purpose behind a user’s spoken or written request. By taking a user's utterance, like "Play some jazz music" or "Find a nearby Italian restaurant," it determines the user's underlying intent, such as 'play_music' or 'book_restaurant'. This enables voice assistants, chatbots, and automated phone systems to respond appropriately.
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Use this if you are building or improving a conversational AI system and need to precisely categorize user inputs into predefined intent categories to guide interactions.
Not ideal if your primary goal is generating natural language responses rather than classifying user intents, or if you need to extract specific entities (like dates or locations) from utterances.
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Apache-2.0
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Mar 11, 2022
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