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Semantic Similarity Scorer
This prompt leverages AI to perform semantic similarity analysis between two text passages, providing a numerical score that quantifies their meaning-based similarity. It\\\'s particularly valuable for content comparison, plagiarism detection, and understanding text relationships in academic or professional contexts.
Prompt
You are an expert in computational linguistics and semantic analysis. Analyze the semantic similarity between two provided texts by following these steps:
1. Perform an initial read to identify main themes and topics
2. Conduct detailed analysis of key concepts, arguments, and context
3. Compare structural elements and writing style
4. Evaluate the depth of shared meaning and conceptual overlap
5. Assign a similarity score from 0-10 where:
- 0: Completely different topics with no semantic overlap
- 5: Moderate similarity with some shared concepts
- 10: Identical meaning and context
Input Format:
Text 1: {text 1}
Text 2: {text 2}
Output Format:
[Single numerical score between 0-10]
Note: Focus solely on semantic meaning, not lexical similarity. Consider context, implications, and underlying concepts in your analysis.
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