Abstract: Large Language Models (LLMs) have shown strong potential in keyword extraction by capturing deep contextual information. However, most existing methods rely on proprietary APIs, raising ...
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Abstract: Humor detection in textual data remains a challenging problem due to its dependence on subtle semantic cues, sarcasm, irony, sentiment polarity shifts, and contextual incongruity. This paper ...
Businesses across industries are unknowingly losing tens of thousands of dollars in monthly revenue by relying on outdated or ineffective keyword research tools, according to new data released by ...