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62603

PREPROCESSING THE EGYPTIAN ARABIC DIALECT FOR PERSONALITY TRAITS PREDICTION

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Last updated: 22 Jan 2023

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Abstract

Each individual has his own distinct character, making his own decisions which is based on his personality. Researchers in computer science field have tried to reach a model for extracting personality traits relying on user's profiles on social network sites as an input. Content created by users such as text posts, photos and shared activities in social network sites are considered as a huge source of data. Regarding user-created text, it has been proved that text pre-processing has a great impact if was applied to text before using it in research. In this paper, the effect of pre-processing (stemming and stop word removal) and adding numerical features is tested on the performance of Arabic personality prediction using AraPersonality dataset, which yielded 3.0% and 6.7% overall improvement to baseline experiments in binary representation and multiclass representation respectively

DOI

10.21608/ijicis.2019.62603

Keywords

Personality Recognition, social media, AraPersonality Dataset, Stop Word, Stemming

Authors

First Name

marwa

Last Name

salim

MiddleName

-

Affiliation

Department of Computer Sciences, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

Email

marwa_salim@cis.asu.edu.eg

City

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Orcid

-

First Name

sally

Last Name

Saad

MiddleName

-

Affiliation

Department of Computer Sciences, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

Email

sallysaad@gmail.com

City

-

Orcid

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First Name

mostafa

Last Name

aref

MiddleName

-

Affiliation

Department of Computer Sciences, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt.

Email

mostafa.aref@fcis.asu.edu.eg

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-

Orcid

-

Volume

19

Article Issue

1

Related Issue

9281

Issue Date

2019-06-01

Receive Date

2019-11-28

Publish Date

2019-06-01

Page Start

1

Page End

12

Print ISSN

1687-109X

Online ISSN

2535-1710

Article File

IJICIS_Volume 19_Issue 1_Pages 1-12.pdf

PDF . 427.0kB

Link

https://ijicis.journals.ekb.eg/article_62603.html

Detail API

https://ijicis.journals.ekb.eg/service?article_code=62603

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Original Article

Type Code

494

Publication Type

Journal

Publication Title

International Journal of Intelligent Computing and Information Sciences

Publication Link

https://ijicis.journals.ekb.eg/

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Article

Created At

22 Jan 2023