A new hybrid feature reduction method by using MCMSTClustering algorithm with various feature projection methods: a case study on sleep disorder diagnosis

Cemal Aktürk | Tarık Talan

Analyzing the User's Sentiments of ChatGPT Using Twitter Data

Cemal Aktürk | Tarık Talan

The Role of Artificial Intelligence in Higher Education: ChatGPT Assessment for Anatomy Course

Yusuf Kalınkara

The extensive research conducted over a prolonged period of time has resulted in the rapid advancement of artificial intelligence (AI) technology, leading to the development of numerous applications. One such recent AI application is ChatGPT, an AI chatbot that has gained millions of users in a short span of time, and can read and write texts. The aim of this study is to compare the performance of ChatGPT in an anatomy course with that of undergraduate students. The participants were students from the Faculty of Health Sciences at a state university in Turkey, who had previously taken an anato ...Daha fazlası

The Role of Artificial Intelligence in Higher Education: ChatGPT Assessment for Anatomy Course

TARIK TALAN

Analyzing The User 's Sentiments Of Chatgpt Using Twitter Data

TARIK TALAN | Cemal Aktürk

The Role of Artificial Intelligence in Higher Education: ChatGPT Assessment for Anatomy Course

Yusuf Kalınkara

A Model for Cross-Domain Opinion Target Extraction in Sentiment Analysis

Muhammet Yasin Pak

Opinion target extraction is one of the core tasks in sentiment analysis on text data. In recent years, dependency parser–based approaches have been commonly studied for opinion target extraction. However, dependency parsers are limited by language and grammatical constraints. Therefore, in this work, a sequential pattern-based rule mining model, which does not have such constraints, is proposed for cross-domain opinion target extraction from product reviews in unknown domains. Thus, knowing the domain of reviews while extracting opinion targets becomes no longer a requirement. The proposed mo ...Daha fazlası

The impact of text representation and preprocessing on author identification

Muhammet Yasin Pak

Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and use of preprocessing steps are considered for author identification problem. This paper aims to comprehensively examine the impact of text representation and preprocessing steps on author identification specifically for Turkish language. For this purpose, the contributions of all possible combinations of different text representation approaches, na ...Daha fazlası

Sentiment Classification based on Domain Prediction

Muhammet Yasin Pak

Sentiment classification has received increasing attention in recent years. Supervised learning methods for sentiment classification require considerable amount of labeled data for training purposes. As the number of domains increases, the task of collecting data becomes impractical. Therefore, domain adaptation techniques are employed. However, most of the studies dealing with the domain adaptation problem demand a few amount of labeled data or lots of unlabeled data belonging to the target domain, which may not be always possible. In this work, a novel method for sentiment classification, wh ...Daha fazlası

Akıllı Turizm için Yenilikçi Derin Öğrenme Ve Hedef Tabanlı Duygu Analizi Yönteminin Geliştirilmesi

A novel hybrid deep learning model for sentiment classification

Mehmet Umut Salur

A Massive Content Analysis Of Twitter Discussions On Nationwide Exam

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