International Journal of Computer
Trends and Technology

Research Article | Open Access | Download PDF

Volume 54 | Number 2 | Year 2017 | Article Id. IJCTT-V54P118 | DOI : https://doi.org/10.14445/22312803/IJCTT-V54P118

Introduction to Text Mining with R using packages

Venkateswarlu pynam, Kolli srikanth, Ashok Surgala, Aravind Bammidi

Citation :

Venkateswarlu pynam, Kolli srikanth, Ashok Surgala, Aravind Bammidi, "Introduction to Text Mining with R using packages," International Journal of Computer Trends and Technology (IJCTT), vol. 54, no. 2, pp. 116-119, 2017. Crossref, https://doi.org/10.14445/22312803/IJCTT-V54P118

Abstract

The fact that R is a language may deter some users who think “I can`t program". This should not be the case for two reasons. First R is an interpreted language, not a compiled one meaning that all commands typed on the keyboard are directly executed without requiring tobuild a complete program like in most computer languages (C, FORTRAN, Pascal . . .). R`s syntax is very simple and intuitive For instance a line a regression can be done with the command lm(y ~ x) which means “fitting a linear model with y as response and x as predictor". In R in order to be executed a function always needs to be written with parentheses even if there is nothing within them (e.g., ls()).R can be considered as a different implementation of S and is much used in as an educational language and research tool. The main advantages of R are the fact that R is freeware and that there is a lot of help available online. It is quite similar to other programming packages such as Mat Lab, but more user-friendly than programming languages such as C++ or FORTRAN and python etc.

Keywords

R, S, programming packages, text mining.

References

1. Feinerer, I and Hornik, K. (2015). tm: Text MiningPackage,Rpackage version0.6-2. Retrieved from http://CRAN.R-project.org/ package=tm.
2. Meyer, D. and Hornik, K. and Feinerer, I. (2008). Text Mining Infrastructure in R. Journal of Statistical Software, 25 (5). pp. 1-54.
3. R Core Team. (2016). R: A language and environment for statistical computing. Retrieved from https://www.r-project.org/about.html.
4. https://cran.r-project.org/web/packages/text-mineR /vignettes/tm.pdf.
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