This system processes news articles by extracting their text and storing it in a database. For each identified entity within the article, such as a company or individual, it classifies the news based on categories, sentiment, and whether it discusses litigation, rumors, or opinions. If the system is sufficiently confident in its classification for a specific entity, it records that information.
Why it matters: Filed before large language models could perform nuanced text classification and entity analysis with high accuracy. The 'determining' steps are now significantly easier.
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