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Text Mining of Unstructured Data Using R

M.S. Lakshmi1 , M.D.A. Sultana2

Section:Research Paper, Product Type: Journal Paper
Volume-4 , Issue-9 , Page no. 123-130, Sep-2016

Online published on Sep 30, 2016

Copyright © M.S. Lakshmi, M.D.A. Sultana . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: M.S. Lakshmi, M.D.A. Sultana, “Text Mining of Unstructured Data Using R,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.9, pp.123-130, 2016.

MLA Style Citation: M.S. Lakshmi, M.D.A. Sultana "Text Mining of Unstructured Data Using R." International Journal of Computer Sciences and Engineering 4.9 (2016): 123-130.

APA Style Citation: M.S. Lakshmi, M.D.A. Sultana, (2016). Text Mining of Unstructured Data Using R. International Journal of Computer Sciences and Engineering, 4(9), 123-130.

BibTex Style Citation:
@article{Lakshmi_2016,
author = {M.S. Lakshmi, M.D.A. Sultana},
title = {Text Mining of Unstructured Data Using R},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2016},
volume = {4},
Issue = {9},
month = {9},
year = {2016},
issn = {2347-2693},
pages = {123-130},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1065},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1065
TI - Text Mining of Unstructured Data Using R
T2 - International Journal of Computer Sciences and Engineering
AU - M.S. Lakshmi, M.D.A. Sultana
PY - 2016
DA - 2016/09/30
PB - IJCSE, Indore, INDIA
SP - 123-130
IS - 9
VL - 4
SN - 2347-2693
ER -

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Abstract

Text mining is the process of acquiring high-quality information from text that is typically borrowed through the devising of patterns and trends such as statistical pattern learning .It usually involves the process of structuring the input text, deriving patterns within the structured data and finally evaluation and interpretation of the output. It can help an organization to acquire potentially valuable business insights from text-based content such as word documents, email and postings on social media streams like Facebook, Twitter and LinkedIn. Mining unstructured data with natural language processing (NLP), statistical modeling and machine learning techniques can be challenging because natural language text is often inconsistent. So, R is used to mine unstructured data which is the most exhaustive statistical analysis package and it incorporates all of the standard statistical tests, models and analyses for managing and manipulating data.

Key-Words / Index Term

R ,S,Text mining,Statistical Modeling

References

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