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Predicting political sentiment from social network for Arabic slang / (Record no. 67664)

MARC details
000 -LEADER
fixed length control field 02750cam a2200313 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180926s2018 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 Cai01.18.02.M.Sc.2018.Am.P
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amal Mahmoud Mohammed
245 10 - TITLE STATEMENT
Title Predicting political sentiment from social network for Arabic slang /
Statement of responsibility, etc. Amal Mahmoud Mohammed ; Supervised Hesham Hefny , Tarek Elghazaly
246 15 - VARYING FORM OF TITLE
Title proper/short title التنبؤ بالتوجه السياسى بشبكات التواصل الاجتماعى وفقا للعربية العامية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Amal Mahmoud Mohammed ,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 140 Leaves :
Other physical details charts ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Institute of Statistical Studies and Research - Department of Computer and Information Science
520 ## - SUMMARY, ETC.
Summary, etc. Microblogs and social media platforms are now considered among the most popular forms of online communication. Through a platform like twitter, much information reflecting people{u2019}s opinions and attitudes is published and shared among users on a daily basis. This has recently brought great opportunities to companies interested in tracking and monitoring the reputation of their brands and businesses, and to policy makers and politicians to support their assessment of public opinions about their policies or political issues. In recent years, sentiment analysis on twitter turned into a recognized shared task challenge. Researchers related to this topic focus only on the English texts with very limited resources interested in Arabic texts, especially for the Egyptian dialect. This thesis discusses a proposed approach for political sentiment analysis for Arabic slang and provides classifier model for the purpose of obtaining information from the tweets. The case study used Twitter data associated with the (2012) presidential election in Egypt. We collected (17290) tweets and annotated them into positive and negative. The thesis also provides a comparison of different machine learning techniques applied to the case of political sentiment analysis in social media. Several machine learning methods were used during experimentation session: Naive Bayes, multinomial naive bayes, support vector machines, K-nearest neighbor and decisions tree and combining different classification algorithms bagging, random forest and stacking
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Arabic slang
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Predicting political sentiment
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Social network
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hesham Hefny ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Tarek Elghazaly ,
Relator term
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Samia
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.18.02.M.Sc.2018.Am.P 01010110076013000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.18.02.M.Sc.2018.Am.P 01020110076013000 22.09.2023 CD - Rom 76013.CD