UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 6 | June 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 5 Issue 6
June-2018
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1806920


Registration ID:
509383

Page Number

807-810

Share This Article


Jetir RMS

Title

MULTILINGUAL AUTHOR PROFILING ON SHORT MESSAGE SERVICE (SMS)

Abstract

Author profiling is the task of identifying different personality traits of author by analysing their written text. Different personality traits are author’s gender, age, native language, native city, qualification, occupation etc. Author profiling has different applications such as it could be used in forensics to find the suspect, in marketing, for fake profile identification etc. We aim to predict the author’s age and gender from the multilingual SMS. In this paper we have classify the author gender into male or female categories. Moreover we have classify the author age into three different groups: (i) 15-19, (ii) 20-24, (iii) above 25. Several machine learning classification models like Support Vector Machine, Random Forest, Decision Tree, Naïve Bayes and Linear Regression are used for experiment. Experimental Results show that Support Vector Machine provide better accuracy when used with Count Vectorizer and TFIDF (Term Frequency Inverse Document Frequency).

Key Words

Multilingual Author Profiling, Natural Language Processing, TFIDF, Support Vector Machine

Cite This Article

"MULTILINGUAL AUTHOR PROFILING ON SHORT MESSAGE SERVICE (SMS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.807-810, June-2018, Available :http://www.jetir.org/papers/JETIR1806920.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"MULTILINGUAL AUTHOR PROFILING ON SHORT MESSAGE SERVICE (SMS)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp807-810, June-2018, Available at : http://www.jetir.org/papers/JETIR1806920.pdf

Publication Details

Published Paper ID: JETIR1806920
Registration ID: 509383
Published In: Volume 5 | Issue 6 | Year June-2018
DOI (Digital Object Identifier):
Page No: 807-810
Country: Ahmedabad, Gujarat, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000268

Print This Page

Current Call For Paper

Jetir RMS