Method and system for identifying user intent from user statements

This invention describes a software system that figures out what a user wants from their written statements. It first cleans the statement, then analyzes each word by its grammatical role, how it connects to other words, and its numerical representation of meaning. A neural network uses these details to categorize each word, and from those categories, the system identifies the user's overall intent.

Why it matters: Filed before the widespread adoption of large language models. Modern LLMs can now perform intent identification with greater accuracy and less explicit feature engineering, potentially simplifying the neural network model described.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, NLU engine, neural network

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