Tuba Parlar

Tuba Parlar
Mustafa Kemal University · Department of Computer Techologies

PhD Computer Engineering

About

16
Publications
5,952
Reads
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195
Citations
Additional affiliations
October 2015 - February 2019
Mustafa Kemal University
Position
  • Head of Department

Publications

Publications (16)
Chapter
Full-text available
Metaverse is an abstract concept that transforms our physical world into a digital environment. As the Metaverse expands and gains widespread attention from users, privacy and security issues come to the forefront. An increase in the number of users means a large amount of personal data is being collected about users. Metaverse data includes biomet...
Article
Full-text available
Objectives The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predictive for pathological complete response pCR after Neoadjuvant chemotherapy (NAC) in locally advanced breast cancer (LABC). Introduction NAC is the standard treatment for locally advanced breast cancer (LABC). Pathological complete response (pCR) after...
Article
Full-text available
Günümüz iş modellerinde kurum veya kuruluşlar, karar alma süreçlerini iyileştirmek için kullanıcıların görüşlerini bilmek istemektedir. Dünyanın dört bir yanındaki milyonlarca insan, sosyal ağ uygulamaları aracılığıyla metin mesajları, videolar veya fotoğraflar kullanarak günlük yorumlarını ve düşüncelerini ifade etmektedir. Facebook, Instagram, Tw...
Chapter
Full-text available
Metaverse fiziksel dünyamızı dijital ortama dönüştüren soyut bir kavramdır. Metaverse genişledikçe ve kullanıcılar tarafından yaygın bir ilgi görmeye başladıkça mahremiyet ve güvenlik sorunları da ön plana çıkmaktadır. Kullanıcı sayısının artması kullanıcılar hakkında toplanan büyük miktarda kişisel veri demektir. Metaverse üzerindeki veriler kulla...
Article
Full-text available
Information and communication technologies are growing rapidly to process increasing amount of data. While processing this data, security and privacy becomes more and more important in cyberspace. Cyber-attacks are more dangerous than ever for industry, government and public. Intrusion detection and classification systems which are built using mach...
Article
Full-text available
One out of every six deaths in the world is caused by cancer. Breast cancer is the most common type of cancer. The main purpose of this study is to investigate the classification performances of three machine-learning algorithms, namely Logistic regression, multilayer perceptron and random forest using Wolf Search Algorithm (WSA), which is a bio-in...
Article
Full-text available
Parkinson’s disease is a common neurological disorder. Its symptoms are more commonly in the form of motor misfunctioning. As the disease progresses, non-motor symptoms are also observed. In previous studies, feature selection methods have been used and shown significant benefits in the diagnosis of the Parkinson’s Disease in patients. Feature sele...
Article
Full-text available
Aim: The high incidence of caries in first permanent molars (FPMs) makes premature extraction of these teeth common. The extraction of the permanent teeth results in various changes in the dental arch. The aim of this study was to evaluate space closure, the eruption of second permanent molars (SPMs), and changes in dental arch after extraction of...
Article
Full-text available
Feature selection methods aim to improve the classification performance by eliminating non-valuable features. In this paper, our aim is to apply a recent optimization technique namely the Intelligent Water Drops (IWD) algorithm to select best features for sentiment analysis. We investigate the classification performances of our proposed IWD based f...
Article
Full-text available
The goals of this study are to analyze the effects of data pre-processing methods for sentiment analysis and determine which of these pre-processing methods (and their combinations) are effective for English as well as for an agglutinative language like Turkish. We also try to answer the research question of whether there are any differences betwee...
Article
Full-text available
Sentiment analysis is about the classification of sentiments expressed in review documents. In order to improve the classification accuracy, feature selection methods are often used to rank features so that non-informative and noisy features with low ranks can be removed. In this study, we propose a new feature selection method, called query expans...
Article
Sentiment analysis automatically classifies the opinions, which are expressed in a document, usually as positive or negative. A review document in general, reflects its author's opinion about the objects mentioned in the text. Therefore, it can have many useful applications such as opinionated web search and automatic analysis of reviews. Although...
Chapter
Term weighting methods assign appropriate weights to the terms in a document so that more important terms receive higher weights for the text representation. In this study, we consider four term weighting and three feature selection methods and investigate how these term weighting methods respond to the reduced text representation. We conduct exper...
Conference Paper
Full-text available
Sentiment analysis identifies people's opinions, sentiments about a product, a service, an organization, or an event. Because of huge review documents, researchers explore different feature selection methods that aim to eliminate non valuable features. However, not much work has been done on feature selection methods for sentiment analysis of Turki...

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