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What is Vector Space Model

Handbook of Research on Text and Web Mining Technologies
Is an algebraic model for representing documents (not only text) as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings. Its first use was in the SMART Information Retrieval System.
Published in Chapter:
Thesaurus-Based Automatic Indexing
Luis M. de Campos (University of Granada, Spain)
Copyright: © 2009 |Pages: 15
DOI: 10.4018/978-1-59904-990-8.ch020
Abstract
In this chapter, we present a thesaurus application in the field of text mining and more specifically automatic indexing on the set of descriptors defined by a thesaurus. We begin by presenting various definitions and a mathematical thesaurus model, and also describe various examples of real world thesauri which are used in official institutions. We then explore the problem of thesaurus-based automatic indexing by describing its difficulties and distinguishing features and reviewing previous work in this area. Finally, we propose various lines of future research.
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Rough Set Based Aggregation for Effective Evaluation of Web Search Systems
A content based model that represents a document as a vector in an n-dimensional space, where each dimension represents a term and similarity between two documents is measured through cosine angle between the two vectors.
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Multidimensional Assessment of Open-Ended Questions for Enhancing the Quality of Peer Assessment in E-Learning Environments
Is an algebraic model for representing text documents (and any objects, in general) as vectors of identifiers, such as, for example, index terms. It is used in information filtering, information retrieval, indexing and relevancy rankings.
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Swarm Intelligence in Text Document Clustering
The vector space model (VSM) is an algebraic model used for information filtering and information retrieval. It represents natural language documents in a formal manner by the use of vectors in a multi-dimensional space. It was used for the first time by the SMART Information Retrieval System. (http://en.wikipedia.org)
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Clustering Methods and Tools to Handle High-Dimensional Social Media Text Data
An algebraic model in NLP that considers the relationship between text (words and documents) and represent similarities as a vector of identifiers. This model assumes two requirements: (1) each term is unique, and (2) the terms have no order. Thus, the relevance of a word or document is equal to the word or document query similarity.
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Detection and Deterrence of Plagiarism in Online Learning Environments
An algebraic representation of text as vectors of identifying elements or terms.
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Mathematical Retrieval Techniques for Online Mathematics Learning
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Applying the Immunological Network Concept to Clustering Document Collections
One of classical representations of document content. The documents are points (or vectors rooted in coordinate origin) in this high-dimensional space (spanned by terms being coordinate axes), with the point (vector) coordinates reflecting frequencies of different terms (linearly or in a more complex manner) in a given document
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Web Search Engine Architectures and their Performance Analysis
A model in which all documents are represented as a vector of weights contributed by each of the terms found in these documents.
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