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 |