MARC details
000 -LEADER |
fixed length control field |
02681cam a2200301 a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
EG-GiCUC |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
210915s2021 ua d f m 000 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
EG-GiCUC |
Language of cataloging |
eng |
Transcribing agency |
EG-GiCUC |
041 0# - LANGUAGE CODE |
Language code of text/sound track or separate title |
eng |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
Deposite |
097 ## - Thesis Degree |
Thesis Level |
M.Sc |
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
Classification number |
Cai01.20.04.M.Sc.2021.Di.M |
100 0# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Dina Farid Fouad |
245 12 - TITLE STATEMENT |
Title |
A model for enhancing cyber bullying detection for arabic language in social media / |
Statement of responsibility, etc. |
Dina Farid Fouad ; Supervised Neamat Eltazi |
246 15 - VARYING FORM OF TITLE |
Title proper/short title |
نموذج لتحسين رصد التنمرالسيبرانى للغة العربية فى شبكات التواصل الإجتماعى |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Cairo : |
Name of publisher, distributor, etc. |
Dina Farid Fouad , |
Date of publication, distribution, etc. |
2021 |
300 ## - PHYSICAL DESCRIPTION |
Extent |
72 Leaves : |
Other physical details |
charts ; |
Dimensions |
30cm |
502 ## - DISSERTATION NOTE |
Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Artificial Intelligence - Department of Information Systems |
520 ## - SUMMARY, ETC. |
Summary, etc. |
The social networking platform in Egypt is rapidly evolving, this rapid growth has made our lives easier and connected friends and families across the globe. As any tool, social networking is a double-edged weapon, and cyberbullying attacks have been proportionally increasing to this evolution.This research proposes an enhanced model to detect cyberbullying on social networks utilizing sentiment analysis for Arabic language. As there is a lack of existing research using Arabic sentiment analysis compared to English sentiment analysis, due to the nature and difficulty of the Arabic language, a deficiency in Arabic dataset used in sentiment analysis can be noticed. In the past few years, Arabic sentiment analysis has been put under a spotlight by the research community. However, most of the current published work focuses on English content, and not contributing much to the Arabic one. In this research we proposed an algorithm to detect cyberbullies on twitter using lexicon-based sentiment analysis specifically, Arabic tweets. The Proposed algorithm takes into consideration two main factors: the user history in terms of their past tweets, and the emoji{u2019}s included in the tweet. Our model starts with constructing our own dictionary for Egyptian dialect and then it includes three main stages which are Twitter Data Collection, Data Preprocessing and finally Data Classification and calculating the score.To confirm the feasibility of our model we ran a set of experiments and tested the model against multiple scenarios |
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
Additional physical form available note |
Issued also as CD |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Arabic language |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Enhancing cyber bullying |
653 #4 - INDEX TERM--UNCONTROLLED |
Uncontrolled term |
Social media |
700 0# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Neamat Eltazi , |
Relator term |
|
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Nazla |
Reviser |
Revisor |
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
Cataloger |
Shimaa |
Reviser |
Cataloger |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Dewey Decimal Classification |
Koha item type |
Thesis |