Research Article
A Machine Learning-based State-of-the-art Approach to Identifying the Person behind an E-mail ID
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 136 - Issue 5 |
| Published: February 2016 |
| Authors: Anu B. Nair, R. Umamaheswari, P. Kuppusamy |
10.5120/ijca2016908431
|
Anu B. Nair, R. Umamaheswari, P. Kuppusamy . A Machine Learning-based State-of-the-art Approach to Identifying the Person behind an E-mail ID. International Journal of Computer Applications. 136, 5 (February 2016), 1-4. DOI=10.5120/ijca2016908431
@article{ 10.5120/ijca2016908431,
author = { Anu B. Nair,R. Umamaheswari,P. Kuppusamy },
title = { A Machine Learning-based State-of-the-art Approach to Identifying the Person behind an E-mail ID },
journal = { International Journal of Computer Applications },
year = { 2016 },
volume = { 136 },
number = { 5 },
pages = { 1-4 },
doi = { 10.5120/ijca2016908431 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2016
%A Anu B. Nair
%A R. Umamaheswari
%A P. Kuppusamy
%T A Machine Learning-based State-of-the-art Approach to Identifying the Person behind an E-mail ID%T
%J International Journal of Computer Applications
%V 136
%N 5
%P 1-4
%R 10.5120/ijca2016908431
%I Foundation of Computer Science (FCS), NY, USA
Abstract
With the growth of internet and related technologies, data available over the web has increased dramatically. As the volume of data increases, the challenge to the computer scientists arises, as knowledge discovery becomes tedious. One of these discovery techniques, which would be widely required soon, would be to identify people and retrieve information about them through social media, via email IDs. In this paper, a state of the art technique is presented, based on Natural Language Processing, to identify details of a person behind an email ID, by scraping social media platforms.
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