Search Results - "Onan, Aytuğ"

Sentiment analysis on product reviews based on weighted word embeddings and deep neural networks by Onan, Aytuğ

“…Summary Sentiment analysis is one of the major tasks of natural language processing, in which attitudes, thoughts, opinions, or judgments toward a particular…”
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Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification by Onan, Aytuğ

“…Sentiment analysis has been a well-studied research direction in computational linguistics. Deep neural network models, including convolutional neural networks…”
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Ensemble of keyword extraction methods and classifiers in text classification by Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“…•Text classification is a domain with high dimensional feature space.•Extracting the keywords as the features can be extremely useful in text…”
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SRL-ACO: A text augmentation framework based on semantic role labeling and ant colony optimization by Onan, Aytuğ

“…The process of creating high-quality labeled data is crucial for training machine-learning models, but it can be a time-consuming and labor-intensive process…”
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Hierarchical graph-based text classification framework with contextual node embedding and BERT-based dynamic fusion by Onan, Aytuğ

“…We propose a novel hierarchical graph-based text classification framework that leverages the power of contextual node embedding and BERT-based dynamic fusion…”
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A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification by Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“…• A novel multi-objective differential evolution algorithm based classifier ensemble for text sentiment classification.• An empirical comparison of weighted…”
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Contextual Hypergraph Networks for Enhanced Extractive Summarization: Introducing Multi-Element Contextual Hypergraph Extractive Summarizer (MCHES) by Onan, Aytuğ, Alhumyani, Hesham

“…Extractive summarization, a pivotal task in natural language processing, aims to distill essential content from lengthy documents efficiently. Traditional…”
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FuzzyTP-BERT: Enhancing extractive text summarization with fuzzy topic modeling and transformer networks by Onan, Aytuğ, Alhumyani, Hesham A.

“…In the rapidly evolving field of natural language processing, the demand for efficient automated text summarization systems that not only distill extensive…”
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Bi-Directional CNN-RNN Architecture with Group-Wise Enhancement and Attention Mechanisms for Cryptocurrency Sentiment Analysis by Habek, Gül Cihan, Toçoğlu, Mansur Alp, Onan, Aytuğ

“…As the cryptocurrency trading market has grown significantly in recent years, the number of comments related to cryptocurrency has increased tremendously in…”
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Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach by ONAN, Aytuğ

“…Massive open online courses (MOOCs) are recent innovative approaches in distance education, which provide learning content to participants without age‐,…”
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GTR-GA: Harnessing the power of graph-based neural networks and genetic algorithms for text augmentation by Onan, Aytuğ

“…Text augmentation is a popular technique in natural language processing (NLP) that has been shown to improve the performance of various downstream tasks. The…”
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Mining opinions from instructor evaluation reviews: A deep learning approach by Onan, Aytuğ

“…Student evaluations of teaching (SET) provides potentially essential source of information to achieve educational quality objectives of higher educational…”
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Two-Stage Topic Extraction Model for Bibliometric Data Analysis Based on Word Embeddings and Clustering by Onan, Aytug

“…Topic extraction is an essential task in bibliometric data analysis, data mining and knowledge discovery, which seeks to identify significant topics from text…”
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An ensemble scheme based on language function analysis and feature engineering for text genre classification by Onan, Aytuğ

“…Text genre classification is the process of identifying functional characteristics of text documents. The immense quantity of text documents available on the…”
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Biomedical Text Categorization Based on Ensemble Pruning and Optimized Topic Modelling by Onan, Aytuğ

“…Text mining is an important research direction, which involves several fields, such as information retrieval, information extraction, and text categorization…”
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A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer by Onan, Aytuğ

“…•A novel classification model based on fuzzy-rough nearest neighbor method.•Fuzzy-rough instance selection.•Consistency-based subset evaluation combined with…”
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A hybrid ensemble pruning approach based on consensus clustering and multi-objective evolutionary algorithm for sentiment classification by Onan, Aytuğ, Korukoğlu, Serdar, Bulut, Hasan

“…Sentiment analysis is a critical task of extracting subjective information from online text documents. Ensemble learning can be employed to obtain more robust…”
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A feature selection model based on genetic rank aggregation for text sentiment classification by Onan, Aytuğ, Korukoğlu, Serdar

“…Sentiment analysis is an important research direction of natural language processing, text mining and web mining which aims to extract subjective information…”
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A review of literature on the use of machine learning methods for opinion mining by Aytuğ Onan, Serdar Korukoğlu

“…Opinion mining is an emerging field which uses methods of natural language processing, text mining and computational linguistics to extract subjective…”
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A Term Weighted Neural Language Model and Stacked Bidirectional LSTM Based Framework for Sarcasm Identification by Onan, Aytug, Tocoglu, Mansur Alp

“…Sarcasm identification on text documents is one of the most challenging tasks in natural language processing (NLP), has become an essential research direction,…”
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