Developing community based hashtag recommendation for tweets and methods of evaluating hashtag recommendation

Areej Alsini

doi:10.26182/r6c8-vw11

Developing community based hashtag recommendation for tweets and methods of evaluating hashtag recommendation

Areej Alsini

School of Physics, Mathematics and Computing

Research output: Thesis › Doctoral Thesis

351 Downloads (Pure)

Abstract

With the increase of information load in social media platforms, the amount of data generated is immense and difficult to analyse. Therefore, hashtag recommendation has become crucial. Hashtag recommendation suggests the top -k hashtags
to the users as they write their microblogs. This thesis explores existing hashtag recommendation methods, proposes a framework that helps researchers understand various factors influencing hashtag recommendation, and focuses on developing methods for evaluating hashtag recommendation methods.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Datta, Amitava, Supervisor Huynh, Du, Supervisor
Award date	16 Jun 2021
DOIs	https://doi.org/10.26182/r6c8-vw11
Publication status	Unpublished - 2021

Access to Document

10.26182/r6c8-vw11

THESIS - DOCTOR OF PHILOSOPHY - ALSINI Areej - 2021
This work is protected by Copyright. You may print or download ONE copy of this document for the purpose of your own non-commercial research or study. Any other use requires permission from the copyright owner. The Copyright Act requires you to attribute any copyright works you quote or paraphrase.

Cite this

@phdthesis{fdb5e77dff38460ba0b63d426476fdcc,

title = "Developing community based hashtag recommendation for tweets and methods of evaluating hashtag recommendation",

abstract = "With the increase of information load in social media platforms, the amount of data generated is immense and difficult to analyse. Therefore, hashtag recommendation has become crucial. Hashtag recommendation suggests the top -k hashtagsto the users as they write their microblogs. This thesis explores existing hashtag recommendation methods, proposes a framework that helps researchers understand various factors influencing hashtag recommendation, and focuses on developing methods for evaluating hashtag recommendation methods.",

keywords = "hashtag recommendation, social networks, community detection, Twitter, Evaluation metric, semantic evaluation, hashtag synonyms, thesauri of hashtags",

author = "Areej Alsini",

year = "2021",

doi = "10.26182/r6c8-vw11",

language = "English",

school = "The University of Western Australia",

}

TY - BOOK

T1 - Developing community based hashtag recommendation for tweets and methods of evaluating hashtag recommendation

AU - Alsini, Areej

PY - 2021

Y1 - 2021

N2 - With the increase of information load in social media platforms, the amount of data generated is immense and difficult to analyse. Therefore, hashtag recommendation has become crucial. Hashtag recommendation suggests the top -k hashtagsto the users as they write their microblogs. This thesis explores existing hashtag recommendation methods, proposes a framework that helps researchers understand various factors influencing hashtag recommendation, and focuses on developing methods for evaluating hashtag recommendation methods.

AB - With the increase of information load in social media platforms, the amount of data generated is immense and difficult to analyse. Therefore, hashtag recommendation has become crucial. Hashtag recommendation suggests the top -k hashtagsto the users as they write their microblogs. This thesis explores existing hashtag recommendation methods, proposes a framework that helps researchers understand various factors influencing hashtag recommendation, and focuses on developing methods for evaluating hashtag recommendation methods.

KW - hashtag recommendation

KW - social networks

KW - community detection

KW - Twitter

KW - Evaluation metric

KW - semantic evaluation

KW - hashtag synonyms

KW - thesauri of hashtags

U2 - 10.26182/r6c8-vw11

DO - 10.26182/r6c8-vw11

M3 - Doctoral Thesis

ER -

Developing community based hashtag recommendation for tweets and methods of evaluating hashtag recommendation

Abstract

Access to Document

Fingerprint

Cite this