Text mining infrastructure in R

Ingo Feinerer; Kurt Hornik; David Meyer

doi:10.18637/jss.v025.i05

Text mining infrastructure in R

Ingo Feinerer
, Kurt Hornik
, David Meyer

WU Vienna University of Economics and Business

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	1-54
Number of pages	54
Journal	Journal of Statistical Software
Volume	25
Issue number	5
DOIs	https://doi.org/10.18637/jss.v025.i05
Publication status	Published - Mar 2008
Externally published	Yes

Keywords

Count-based evaluation
R
String kernels
Text classification
Text clustering
Text mining

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10.18637/jss.v025.i05

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title = "Text mining infrastructure in R",

keywords = "Count-based evaluation, R, String kernels, Text classification, Text clustering, Text mining",

author = "Ingo Feinerer and Kurt Hornik and David Meyer",

year = "2008",

month = mar,

doi = "10.18637/jss.v025.i05",

language = "English",

volume = "25",

pages = "1--54",

journal = "Journal of Statistical Software",

issn = "1548-7660",

publisher = "University of California at Los Angeles",

number = "5",

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TY - JOUR

T1 - Text mining infrastructure in R

AU - Feinerer, Ingo

AU - Hornik, Kurt

AU - Meyer, David

PY - 2008/3

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KW - Count-based evaluation

KW - R

KW - String kernels

KW - Text classification

KW - Text clustering

KW - Text mining

UR - https://www.scopus.com/pages/publications/46749110035

U2 - 10.18637/jss.v025.i05

DO - 10.18637/jss.v025.i05

M3 - Article

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SN - 1548-7660

VL - 25

SP - 1

EP - 54

JO - Journal of Statistical Software

JF - Journal of Statistical Software

IS - 5

ER -

Text mining infrastructure in R

Keywords

Access to Document

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