12 results for “Twitter”
Research Article
Open Access Türkiye'de Twitter Verilerinden Faydalanarak Ahşap Malzeme Üzerine Eğilimlerin Belirlenmesi
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
2nd International Symposium on Innovative Approaches in Scientific Studies 2018
Dünyadaki veri miktarı büyük bir hızla artmaktadır. Günümüzde veriler bilim insanları tarafından en değerli hammadde
olarak düşünülmektedir. Veri madenciliği çalışmaları gelişmiş ülkeler için kritik bir konudur. Bu nedenle her alanda veri
çalışmalarına büyük…
Research Article
Open Access DUYGUSAL TWITTER ANALİZİ
Tohid Javadi, Javadi T, NEcaatin Barışçı, Barışçı N
Ist International Symposium on Innovative Approaches in Scientific Studies 2018
İnsanlar sanal âlemde her geçen gün sosyalleşmek için paylaşım yaparak, duygu ve düşüncelerini değişik platformlarda diğer insanlara duyurmakta ve onlarla paylaşım yapmaktadır. İnsanların duygu ve düşünceleri onların doğadaki olaylara ve bu olayların öznelerin…
Research Article
Open Access The Effect of the Visualization Type of Data Received from the X Platform on Manipulation Detection with Deep Learning
Hafzullah İş, İş H
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.031
Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …
Research Article
Open Access Assessment of University Perception Based on Twitter Data
Selahattin Bardak, Bardak S, Timuçin Bardak, Bardak T
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.077
Universities play a key role in the cultural and economic development of countries. It also provides necessary and useful information to the community. Industry university collaborations are essential for the emergence and diffusion of innovations. For these r…
Research Article
Open Access Multilingual Sentiment Analysis for Mobile Gaming: A Comparative Study of Machine Learning and Hybrid Deep Learning Approaches
Erol Kına, Kına E, Recep Özdağ, Özdağ R
International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.1.001
The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…
Research Article
Open Access Determination of Furniture Trends in Different Cities Based on Twitter Data in Terms of Gender
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.020
The increase in firms in the furniture industry has made competition difficult. In this competitive environment, it is important to collect data and extract meaningful information. Every second, large amounts of data are generated on the Internet. The use of s…
Research Article
Open Access Sosyal Medya Uygulamalarında Kullanıcı Yorumlarının Metin Madenciliği ile Sınıflandırılması
Emre Dandıl, Dandıl E, Burhan Karakurt, Karakurt B
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.040
Sosyal medya kullanımı günümüzde insanlar için önemli bir günlük aktivite olmuştur. İnsan yaşamının odak noktalarından birisi haline gelen sosyal medya hem bir kişisel ihtiyaç olarak kullanılmakta hem de insanların eğlence gereksinimleri karşılamaktadır. Bu ça…
Research Article
Open Access Word Vector Space for Text Classification and Prediction According to Author
İlknur Dönmez, Dönmez İ, Elnaz Pashaei , Pashaei E, Elham Pashaei
International Congress on Human-Computer Interaction, Optimization and Robotic Applications 2019 https://doi.org/10.36287/setsci.4.5.021
Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…
Research Article
Open Access Enhancing Financial Market Sentiment Analysis Using Dataset Augmentation
Dante Contella, Contella D, Johnson Kinyua, Kinyua J, Charles Mutigwe, Mutigwe C
International Conference on Open Finance 2025 https://doi.org/10.36287/setsci.24.5.039
We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…
Research Article
Open Access ELECTRA ve XLNET Modellerini Kullanarak X Verilerinden İntihara Meyilli İçerikleri Tespit Etme
Tolga Aydın, Aydın T, Muhammet Coşkun Irmak, Irmak M
Cognitive Models and Artificial Intelligence Conference 2023 https://doi.org/10.36287/setsci.6.1.019
İntihar konusu, birçok farklı disiplin tarafından incelenen ve tarihin her döneminde karşılaşılan bir konu olmuştur. Teknolojinin gelişimi ve akıllı telefonların her yerde bulunması sebebiyle, kullanıcılar, özellikle çevrimiçi sosyal platformlar aracılığıyla d…
Research Article
Open Access Evaluation of the University Students Friendship Status Effect on Their Academic Achievement with Data Mining Techniques
Timuçin Bardak, Bardak T, Selahattin Bardak, Bardak S
4th International Symposium on Innovative Approaches in Engineering and Natural Sciences 2019 https://doi.org/10.36287/setsci.4.6.022
There are many factors that affect students' motivation to learn. Number of friends, friendship satisfaction and communication skills are some of the important factors. In scientific studies, friendship and peer rejection have unique effects on academic achiev…
Research Article
Open Access Community Detection in Social Media Network with Maximum Modularity Using Girvan-Newman Algorithm
Ali Fatih Gündüz, Gündüz A, Ahmet Karadoğan, Karadoğan A
International Symposium on Multidisciplinary Studies and Innovative Technologies 2017
Social networks are formed from interactions of peoples. Measuring the degree of those relationships requires interpreting connectivity of vertices and extracting information from it. Generally individuals form smaller sub-communities in those networks. Identi…