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2018 | OriginalPaper | Buchkapitel

An Overview of Information Discovery Using Latent Semantic Indexing

verfasst von : Roger Bradford

Erschienen in: Advanced Computational Methods for Knowledge Engineering

Verlag: Springer International Publishing

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Abstract

In recent years there has been a dramatic increase in the size of information collections of importance. At the same time, there has been a growing interest in extracting as much useful information as possible from such collections. These trends place significant demands on modern information retrieval systems. In particular there is a great need for tools that can support discovery of new and useful information. The technique of latent semantic indexing (LSI) has a number of attributes that make it particularly well-adapted to information discovery applications. This paper provides an overview of LSI-based techniques that have been successfully employed in facilitating discovery in practical applications. The techniques range from user aids to state-of-the-art discovery methods.

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Vorheriges Kapitel Sentiment Polarity Detection in Social Networks: An Approach for Asthma Disease Management
Nächstes Kapitel Similarity Measures for Music Information Retrieval
Fußnoten
1
A review of major online sources (Science Direct, Springer Link, Google Scholar, and the digital libraries of the IEEE and ACM) indicates that publications regarding biomedical applications of LSI were negligible prior to 2000, grew linearly between then and 2007, surged in 2008, and have been growing at a rate of 10–15% per year since then.
.
 
2
These figures are from commercial and government applications worked on by the author between 2005 and 2013. These applications primarily involved conceptual retrieval, text clustering, and/or document categorization tasks. Most had at least some focus on new information discovery.
 
3
Subsequent to the timeframe covered by the news articles used in the experiment, the Salafist Group for Preaching and Combat (GSPC), changed its’ name to Al Qaida in the Islamic Maghreb (AQIM).
 
4
For example, Person A – Person B – Organization C - Telephone Number D – Person E – fraud.
 
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Metadaten
Titel
An Overview of Information Discovery Using Latent Semantic Indexing
verfasst von
Roger Bradford
Copyright-Jahr
2018
Buch
Advanced Computational Methods for Knowledge Engineering

Print ISBN: 978-3-319-61910-1

Electronic ISBN: 978-3-319-61911-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-61911-8_14

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