Processing text with domain-specific spreading activation methods

This invention describes a computer program designed to analyze suicide notes. It creates a network of interconnected ideas, called a semantic network, from the text, mimicking how human memory and recognition process information. This network helps identify and weigh important concepts within the notes.

Why it matters: Filed before large language models (LLMs) became prevalent. Modern LLMs can now perform highly sophisticated semantic analysis and concept extraction, potentially offering more robust and adaptable ways to build and utilize semantic networks and simulate spreading activation than the methods available in 2018.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, neurocognitive algorithms, specialized data

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