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2019 | OriginalPaper | Chapter

2. Vector Space Model

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Abstract

The vector space model is a widely used model in computer science. Its wide use is due to the simplicity of the model and its very clear conceptual basis that corresponds to the human intuition in processing information and data. The idea behind the model is very simple, and it is an answer to the question, how can we compare objects in a formal way? It seems that the only way to describe the objects is to use a representation with features (characteristics) and their values. It is a universal idea, and it even seems to be the only possible way to work with formal objects.

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Footnotes
1
Translator’s remark: Note that this measure was generalized into soft cosine measure by Sidorov et al. [95], when the similarity of features is taken into account; see also Wikipedia.
 
Literature
49.
go back to reference Inteligencia Artificial. G. Sidorov (Ed.), Alfa Omega (2018) Inteligencia Artificial. G. Sidorov (Ed.), Alfa Omega (2018)
95.
go back to reference Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A., Chanona-Hernández, L.: Syntactic N-grams as Machine Learning Features for Natural Language Processing. Expert Systems with Applications, 41(3): 853–860 (2014)CrossRef Sidorov, G., Velasquez, F., Stamatatos, E., Gelbukh, A., Chanona-Hernández, L.: Syntactic N-grams as Machine Learning Features for Natural Language Processing. Expert Systems with Applications, 41(3): 853–860 (2014)CrossRef
96.
go back to reference Sidorov, G.: N-gramas sintácticos y su uso en la lingüística computacional. Vectores de investigación, 6(6): 1–15 (2013) Sidorov, G.: N-gramas sintácticos y su uso en la lingüística computacional. Vectores de investigación, 6(6): 1–15 (2013)
Metadata
Title
Vector Space Model
Author
Grigori Sidorov
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-030-14771-6_2

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