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Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R

S. Mahalakshmi1

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-04 , Page no. 8-11, Feb-2019

Online published on Feb 28, 2019

Copyright © S. Mahalakshmi . 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: S. Mahalakshmi, “Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.8-11, 2019.

MLA Style Citation: S. Mahalakshmi "Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R." International Journal of Computer Sciences and Engineering 07.04 (2019): 8-11.

APA Style Citation: S. Mahalakshmi, (2019). Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R. International Journal of Computer Sciences and Engineering, 07(04), 8-11.

BibTex Style Citation:
@article{Mahalakshmi_2019,
author = {S. Mahalakshmi},
title = {Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {07},
Issue = {04},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {8-11},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=712},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=712
TI - Social Media Mining : Retrieving , Preprocessing Storing and Analyzing Bone Cancer Related Tweets Using R
T2 - International Journal of Computer Sciences and Engineering
AU - S. Mahalakshmi
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 8-11
IS - 04
VL - 07
SN - 2347-2693
ER -

           

Abstract

Social media provides easily an accessible platform for users to share information. Mining social media has its potential to extract actionable patterns that can be beneficial for business, users,and consumers. Social media data are vast, noisy, unstructured, and dynamic in nature, and thus novel challenges arise. This paper deals with social media mining in which we retrieved tweets ,preprocessed and store it in a csv file in order to compare with ontology related to cancer which is created using protégé. Also analysis made on preprocessed cancer related tweets using R.

Key-Words / Index Term

Social media, Mining, preprocess, csvfile, Ontology, Tweets, R

References

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