Çekirdek, Hamza

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Profile URL
https://hdl.handle.net/20.500.14365/7669
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Email Address
cekirdekkhamza@gmail.com
hamza.cekirdek@ieu.edu.tr
Main Affiliation
05.04. Software Engineering
Status
Current Staff
Website
ORCID ID
0009-0009-8077-8827
Scopus Author ID
59490536300
Turkish CoHE Profile ID
77CA144AD2C57E4A
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WoS Researcher ID
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hamza çekirdek tekli biyometrik.jpg (202.97 KB)

Sustainable Development Goals

NO POVERTY1
NO POVERTY
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ZERO HUNGER2
ZERO HUNGER
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GOOD HEALTH AND WELL-BEING3
GOOD HEALTH AND WELL-BEING
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QUALITY EDUCATION4
QUALITY EDUCATION
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GENDER EQUALITY5
GENDER EQUALITY
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CLEAN WATER AND SANITATION6
CLEAN WATER AND SANITATION
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AFFORDABLE AND CLEAN ENERGY7
AFFORDABLE AND CLEAN ENERGY
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DECENT WORK AND ECONOMIC GROWTH8
DECENT WORK AND ECONOMIC GROWTH
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INDUSTRY, INNOVATION AND INFRASTRUCTURE9
INDUSTRY, INNOVATION AND INFRASTRUCTURE
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REDUCED INEQUALITIES10
REDUCED INEQUALITIES
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SUSTAINABLE CITIES AND COMMUNITIES11
SUSTAINABLE CITIES AND COMMUNITIES
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RESPONSIBLE CONSUMPTION AND PRODUCTION12
RESPONSIBLE CONSUMPTION AND PRODUCTION
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CLIMATE ACTION13
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LIFE BELOW WATER14
LIFE BELOW WATER
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LIFE ON LAND15
LIFE ON LAND
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PEACE, JUSTICE AND STRONG INSTITUTIONS16
PEACE, JUSTICE AND STRONG INSTITUTIONS
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PARTNERSHIPS FOR THE GOALS17
PARTNERSHIPS FOR THE GOALS
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2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 2024 Innovations in Intelligent Systems and Applications Conference, ASYU 2024 -- 16 October 2024 through 18 October 2024 -- Ankara -- 2045621
EAI/Springer Innovations in Communication and Computing1
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  • Thumbnail Image
    Conference Object
    Aspect-Based Sentiment Annotation and Analysis System
    (Springer Science and Business Media Deutschland GmbH, 2025) Terziler, D.E.; Çekirdek, H.; Yağcı, S.; Kumova Metin, S.; Metin, Senem Kumova
    Today, the ever-increasing amount of user-generated content and online activities has increased the transfer of human opinions and feelings through unstructured text (chat, blogs, reviews, etc.) to high levels. This has made emotion/sentiment recognition from unstructured text one of the most popular tasks in the natural language processing field. In current studies, not only the feeling that is conveyed by the whole text is to be recognized but also the sentiment/feeling that is directed to a certain aspect is to be analyzed. In this study, we have built an aspect-based sentiment annotation and analysis system. The system provides an intelligent and user-friendly interface to construct an annotated dataset by highlighting aspect candidates and selecting the sentiment label value for a given aspect. It also gives recommendations to its users with possible aspect candidates and their corresponding sentiment values. The recommendation service in our system is based on existing AI models that have been used for aspect-based sentiment analysis. © 2025 Elsevier B.V., All rights reserved.
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    Analyzing Traffic Patterns in Izmir: a Study on Busy Hours and Congestion
    (Institute of Electrical and Electronics Engineers Inc., 2024) Başoğul, Ali Ozan; Çekirdek, Hamza; Nakipoğlu, K.; Yağcı, Semih; Demir, Alper
    Developing strategies for transportation is one of the main tasks for smart cities. With the traffic data on key arteries of Izmir, this project aims to estimate the time intervals and routes where traffic jam may occur in Izmir and uncover relationships between various factors affecting traffic. The study demonstrates that accurate models can be developed to predict the number of passing vehicles and reveals interesting correlations within the data. © 2024 IEEE.