The Vector Space Model

The Vector Space Model is a way to represent information, like documents or words, as mathematical objects called vectors. Imagine each piece of information as a point in a multi-dimensional space, where each dimension represents a different feature or aspect, such as keywords. By transforming texts into these vectors, we can measure their similarities and differences, making it easier to search for and organize information. This model helps in tasks like information retrieval and natural language processing, enabling systems to understand and find relevant content effectively.