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Towards emotion analysis in opinion mining / (Record no. 58494)

MARC details
000 -LEADER
fixed length control field 02326cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031610.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161107s2016 ua 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 Cai01.20.03.M.Sc.2016.Am.T
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amr Mansour Mohsen
245 10 - TITLE STATEMENT
Title Towards emotion analysis in opinion mining /
Statement of responsibility, etc. Amr Mansour Mohsen ; Supervised Hesham Ahmed Hassan , Amira Mohamed Idrees
246 15 - VARYING FORM OF TITLE
Title proper/short title نحو تحليل الإنفعالات فى مجال إستخراج الرأى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Amr Mansour Mohsen ,
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent 88 Leaves ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science
520 ## - SUMMARY, ETC.
Summary, etc. Emotion analysis and Opinion mining from text play an important role in many fields nowadays. Their importance comes from many perspectives; Governments need to know the impact of some economic and political decisions, companies need to get the feedback on their new products, other people need to know others opinions before buying any new thing. These opinions besides the emotions incorporated in blogs, reviews on products and social media represent a valuable resource of information for decision makers. The aim of the thesis is to propose an emotion approach and suggest a framework for classifying the text based on its emotions such as (anger, disgust, fear, joy, sadness and surprise). These emotions come under two main opinion classes; they are (positive and negative). To accomplish this work, first, a comparison is performed between different emotion analysis techniques to classify the strengths and weaknesses which formulate the research objectives. Two main objectives have been addressed first, improving emotion classification accuracy by using a hybrid approach by using Information Retrieval, Machine Learning and Lexicon based techniques
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Emotion analysis
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Opinion mining
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Text mining
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Amira Mohamed Idrees ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Hesham Ahmed Hassan ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
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 Cai01.20.03.M.Sc.2016.Am.T 01010110070195000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.20.03.M.Sc.2016.Am.T 01020110070195000 22.09.2023 CD - Rom 70195.CD