Cosine similarity is a Metric used to measure how similar two vectors are by calculating the cosine of the angle between them. It ranges from -1 to 1.where 1 indicates identical orientation, 0 indicates orthogonality, and -1 indicates opposite orientation.
Cosine similarity is commonly used in
- text analysis,
- information retrieval,
- recommendation systems to compare document similarity, user preferences, or item features.
In Binary Classification, cosine similarity can be used as a feature to help distinguish between two classes. For instance, in text classification tasks, you might represent documents as vectors using techniques like TF-IDF.