Latent Semantic Mapping

Released on by Jerome R. Bellegarda
preview-18

  • Latent Semantic Mapping Book Detail

  • Author : Jerome R. Bellegarda
  • Release Date : 2022-05-31
  • Publisher : Springer Nature
  • Genre : Technology & Engineering
  • Pages : 101
  • ISBN 13 : 3031025563
  • File Size : 83,83 MB
DOWNLOAD BOOK

Latent Semantic Mapping by Jerome R. Bellegarda PDF Summary

Book Description: Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which is partially obscured by the randomness of word choice with respect to retrieval. Algebraic and/or statistical techniques are brought to bear to estimate this structure and get rid of the obscuring ""noise."" This results in a parsimonious continuous parameter description of words and documents, which then replaces the original parameterization in indexing and retrieval. This approach exhibits three main characteristics: -Discrete entities (words and documents) are mapped onto a continuous vector space; -This mapping is determined by global correlation patterns; and -Dimensionality reduction is an integral part of the process. Such fairly generic properties are advantageous in a variety of different contexts, which motivates a broader interpretation of the underlying paradigm. The outcome (LSM) is a data-driven framework for modeling meaningful global relationships implicit in large volumes of (not necessarily textual) data. This monograph gives a general overview of the framework, and underscores the multifaceted benefits it can bring to a number of problems in natural language understanding and spoken language processing. It concludes with a discussion of the inherent tradeoffs associated with the approach, and some perspectives on its general applicability to data-driven information extraction. Contents: I. Principles / Introduction / Latent Semantic Mapping / LSM Feature Space / Computational Effort / Probabilistic Extensions / II. Applications / Junk E-mail Filtering / Semantic Classification / Language Modeling / Pronunciation Modeling / Speaker Verification / TTS Unit Selection / III. Perspectives / Discussion / Conclusion / Bibliography

Disclaimer: www.yourbookbest.com does not own Latent Semantic Mapping books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Latent Semantic Mapping

Latent Semantic Mapping

File Size : 7,7 MB
Total View : 1521 Views
DOWNLOAD

Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text d

Semantic Mapping

Semantic Mapping

File Size : 18,18 MB
Total View : 1246 Views
DOWNLOAD

Semantic mapping, a categorical structuring of information in graphic form, has been used successfully in many classrooms. This book provides a comprehensive in

Latent Semantic Mapping

Latent Semantic Mapping

File Size : 54,54 MB
Total View : 1670 Views
DOWNLOAD

In information retrieval, Latent Semantic Mapping enables retrieval on the basis of conceptual content instead of merely matching words between queries and docu

Semantic Feature Analysis

Semantic Feature Analysis

File Size : 32,32 MB
Total View : 2342 Views
DOWNLOAD

This book discusses semantic feature analysis, a strategy that helps teachers focus students' attention on vocabulary and increase their sensitivity to language