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    What is n dimensional vector?An n-dimensional vector, i.e., a vector (x_1, x_2, ..., x_n) with n components. In dimensions n greater than or equal to two, vectors are sometimes considered synonymous with points and so n-tuples (x_1, x_2, ..., x_n) are sometimes called points in n-space.
    What is a vector space model based on the bag-of-words representation?In this section we consider a particular vector space model based on the bag-of-words representation. Documents and queries are represented as vectors. Each dimension corresponds to a separate term. If a term occurs in the document, its value in the vector is non-zero.
    What is a vector semantics model?And that’s where scientists came up with “Vector semantics models” or “Vector space models of meaning” or “Distributional models of meaning” for building knowledge-based systems with a learning capability . And these methods have been in industry for quite a long time.
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