Term-Document Representation

Murugan Anandarajan; Chelsey Hill; Thomas Nolan

doi:10.1007/978-3-319-95663-3_5

Back

Book chapter

Term-Document Representation

Murugan Anandarajan, Chelsey Hill and Thomas Nolan

Practical Text Analytics, pp 61-73

20 Oct 2018

DOI: https://doi.org/10.1007/978-3-319-95663-3_5

Additional Links

Abstract

Document frequency

Document weighting

Document-term matrix

Inverse document frequency

Inverted index

Log frequency

Term frequency

Term frequency-inverse document frequency

Term weighting

Term-document matrix

Weighting

This chapter details the process of converting documents into an analysis-ready term-document representation. Preprocessed text documents are first transformed into an inverted index for demonstrative purposes. Then, the inverted index is manipulated into a term-document or document-term matrix. The chapter concludes with descriptions of different weighting schemas for analysis-ready term-document representation.

Metrics

8 Record Views

Details

Title: Term-Document Representation
Creators: Murugan Anandarajan - Drexel University
Chelsey Hill - Montclair State University
Thomas Nolan - Mercury Systems
Publication Details: Practical Text Analytics, pp 61-73
Series: Advances in Analytics and Data Science
Publisher: Springer International Publishing; Cham
Resource Type: Book chapter
Language: English
Academic Unit: Decision Sciences (and Management Information Systems); Bennett S. LeBow College of Business; Drexel University
Other Identifier: 991019551543004721

Term-Document Representation

Additional Links

Abstract

Metrics

Details

Drexel University Social media