Cosine similarity
40.5K
Volume
+61%
Growth
regular
About the Topic
Metric used to measure the similarity between two vectors by calculating the cosine of the angle between them. Commonly utilized in text analysis, it ranges from -1 to 1, where 1 indicates identical vectors, 0 indicates no similarity, and -1 indicates completely opposite vectors. This metric is particularly beneficial for applications in natural language processing and information retrieval.
Cosine similarity was discovered on May 24th 2020 and it currently has a search volume of 40.5K with a growth of +61%.
Key Indicators
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
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- Medium
- Low
Volatility
- High
- Average
- Low
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