Negation handling in sentiment analysis of customer’s reviews / (Record no. 175314)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05115namaa22004451i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GICUC |
| 005 - أخر تعامل مع التسجيلة | |
| control field | 20251101141614.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 251101s2024 ua a|||frm||| 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloguing agency | EG-GICUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GICUC |
| Modifying agency | EG-GICUC |
| Description conventions | rda |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| Language code of summary or abstract | eng |
| -- | ara |
| 049 ## - Acquisition Source | |
| Acquisition Source | Deposit |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 658.802 |
| 092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC) | |
| Classification number | 658.802 |
| Edition number | 21 |
| 097 ## - Degree | |
| Degree | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Local Call Number | Cai01.18.07.M.Sc.2024.Al.N |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Authority record control number or standard number | Aliaa Atef Abd Elsamea Rohaem, |
| Preparation | preparation. |
| 245 10 - TITLE STATEMENT | |
| Title | Negation handling in sentiment analysis of customer’s reviews / |
| Statement of responsibility, etc. | by Aliaa Atef Abd Elsamea Rohaem ; Supervision Prof. Dr. Nagy Ramadan, Dr. Nesrine Ali, Dr. Abdelmoneim Helmy. |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | معالجة النفي في تحليل المعاني في مراجعات العملاء |
| 264 #0 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | 2024. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 126 Leaves : |
| Other physical details | illustrations ; |
| Dimensions | 30 cm. + |
| Accompanying material | CD. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rda content |
| 337 ## - MEDIA TYPE | |
| Media type term | Unmediated |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | volume |
| Source | rdacarrier |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc)-Cairo University, 2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography: pages 104-115. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | Sentiment analysis (SA) has become an increasingly popular research area; researchers can obtain information about public opinion by analysing data and automatically classifying their sentiment polarity using natural language processing (NLP). The influence of negation on word scope and the inability to handle linguistic features is an essential task in SA.<br/> In this study, we firstly tackle the challenge of determining the polarity of a sentence while identifying the scope of negation. Secondly, we suggest an approach to dealing with negations based on linguistic features that determine the impact of various types of negation. The data imbalance problem was overcomed using SMOTE, and ROC curve analysis was also used to assess the performance of the current work. The outcomes of NLP, machine learning (ML), and hybrid approaches were compared; the hybrid approach excelled in detecting negative sentences.<br/>By comparing several algorithms, Random Forest (RF) performedbest, followed by support vector machines, Naive Bayes, and K-Nearest Neighbors. The RF algorithm achievedan AVG precision of 89% in electronics, 87% in toys, and 85% in the camera dataset. Additionally, the AUC curves for the negative class reached 89% in both electronics and toys, while in the camera dataset, it reached 90%. |
| 520 #3 - SUMMARY, ETC. | |
| Summary, etc. | أصبح تحليل المشاعر(SA) مجالًا بحثيًاشائعًا بشكل متزايد، أصبح الباحثون قادرين علي الحصول علي المعلومات حول الرأي العام وذلك بتحليل البيانات والتصنيفالتلقائي لأستقطابية مشاعرهم بأستخدام معالجة اللغة الطبيعية (NLP) . يُعد تأثيرالنفي علي نطاق الكلمات وعدم القدرة علي التعامل مع السمات اللغوية مهمة أساسية لتحليل المشاعر.<br/>في هذة الدراسة، نتناول أولآ، التحدي المتمثل في تحديد قطبية الجملة مع تحديد نطاق النفي.ثانيآ، نقترح نهجآ للتعامل مع النفي يعتمد علي السمات اللغوية التي تحدد تأثير أنواع النفي المختلفة.تم التغلب علي مشكلة عدم توازن البيانات بأستخدام SMOTE، كما تم أستخدام تحليل منحني ROC لتقييم أداء العمل الحالي. وتمت مقارنة نتائج NLP، والتعلم الألي(ML)، والنهج الهجين، وقد تفوق النهج الهجين في أكتشاف الجمل السلبية. <br/>من خلال مقارنة العديد من الخوارزميات،كانتRandom Forest (RF)هيالأفضلأداء، يليها Support Vector Machines (SVM)، Naive Bayes (NB) ، K-Nearest Neighbors (KNN). حققت خوارزمية RF متوسط precision 89 %في الإلكترونيات،87% في الألعاب، 85% في مجموعة بيانات الكاميرا. بالإضافة إلي ذالك، بلغت منحنيات AUC للفئة السلبية 89% في كلآ من الإلكترونيات والألعاب، بينما بلغت 90% في مجموعة بيانات الكاميرا. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Issues CD | Issues also as CD. |
| 546 ## - LANGUAGE NOTE | |
| Text Language | Text in English and abstract in Arabic & English. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data processing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | معالجة البيانات |
| 653 #1 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Sentiment Analysis (SA) |
| -- | Negation Scoping (NS) |
| -- | Machine Learning (ML) |
| -- | Natural Language Processing (NLP) |
| -- | Synthetic Minority Oversampling Technique(SMOTE) |
| -- | Receiver Operating Characteristic (ROC) |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nagy Ramadan |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Nesrine Ali |
| Relator term | thesis advisor. |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Abdelmoneim Helmy |
| Relator term | thesis advisor. |
| 900 ## - Thesis Information | |
| Grant date | 01-01-2024 |
| Supervisory body | Nagy Ramadan |
| -- | Nesrine Ali |
| -- | Abdelmoneim Helmy |
| Universities | Cairo University |
| Faculties | Faculty of Graduate Studies for Statistical Research |
| Department | Department of Information Systems and Technology |
| 905 ## - Cataloger and Reviser Names | |
| Cataloger Name | Shimaa |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Edition | 21 |
| Suppress in OPAC | No |
| Source of classification or shelving scheme | Home library | Current library | Date acquired | Inventory number | Full call number | Barcode | Date last seen | Effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 01.11.2025 | 92291 | Cai01.18.07.M.Sc.2024.Al.N | 01010110092291000 | 31.10.2025 | 01.11.2025 | Thesis |