Machine learning classifier for content analysis

This invention describes a software system that takes online content, like an article or post, and uses natural language processing to understand its meaning and emotional tone. It then uses this understanding to calculate a confidence score, which could be used to help determine if the content is factual or trustworthy. The claims specifically focus on identifying the sentiment of the content.

Why it matters: Filed before large language models became widely available, the natural language processing capabilities required for generating answers and indicating sentiment are now significantly more powerful and accessible. This makes the core functionality of the invention more robust and easier to implement effectively.

Status: ExpiredProtection ended and was never renewed
How hard to build: SpecializedMachine learning, NLP, software system

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