Cosine similarity is a metric used to determine how similar two vectors are, by measuring the cosine of the angle between them. It is commonly used in text analysis and information retrieval to measure the similarity between documents, as it is invariant to the magnitude of the vectors, focusing solely on their orientation.

Cosine Similarity

Cosine similarity

Metric used to determine similarity

Similarity between two vectors

cosine of the angle

Text analysis involves the use of computational techniques to derive meaningful information from unstructured text data, enabling insights into patterns, trends, and sentiments. It is widely used in fields such as natural language processing, data mining, and machine learning to automate the understanding and interpretation of large volumes of textual information.

text analysis

Information retrieval is the process of obtaining relevant information from a large repository, typically using algorithms to match user queries with data. It plays a crucial role in search engines, digital libraries, and databases, focusing on efficiency, accuracy, and relevance of the results provided to the user.

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