Sağlık Kuruluşlarının Kurumsal İtibarının Metin Madenciliği ve Duygu Analizi ile Değerlendirilmesi by Fatma Yiğit Açıkgöz, Dilşad Erdoğan, Hasan Şahin, Mehmet Kayakuş

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Google Yorumları Üzerinden Makine Öğrenme Yöntemleri ve Amazon Comprehend ile Duygu Analizi: İç Anadoluda Bir Üniversite Örneği by Sevim Özulukale Demirbilek, Mustafa Demirbilek

Subjects: “…sentiment analysis…”
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Experience in applying large language models to analyse sociological data obtained as a result of interviews on students’ perception of entrepreneurial activity by E. G. Ashikhmin, V. V. Levchenko, G. I. Seletkova

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Covid-19 Pandemisinde Sağlık Çalışanları ve Öğretmenlere Yönelik Algının Duygu Analizi ile Twitter Verileri Üzerinden İncelenmesi by Nurbanu Bursa, Refika İmge Günyaktı

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Kamusal Halkla İlişkilerde Sosyal Medya: Milli Eğitim Bakanlığı’nın Öğretmenlikte Kariyer Basamakları Çalışmasına İlişkin Bir Duygu Analizi Araştırması by Havva Nur Tarakcı

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Penerapan Metode Extreme Programming pada Rancang Bangun Sistem Analisis Sentimen Portal Berita by I Gede Bagus Premana Putra, Made Sudarma, Ida Bagus Gede Manuaba

“…The existence of a sentiment analysis system can be used as an alternative solution for individuals and organizations to carry out sentiment analysis, so that it can assist in the decision-making a process and performance evaluation. …”
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Unveiling User Sentiment: Aspect-Based Analysis and Topic Modeling of Ride-Hailing and Google Play App Reviews by Viktor Handrianus Pranatawijaya, Nova Noor Kamala Sari, Resha Ananda Rahman, Efrans Christian, Septian Geges

“…Keywords: User Reviews, Aspect-Based Sentiment Analysis (ABSA), Sentiment Analysis, Topic Modeling, Generative Artificial Intelligence (GenAI)…”
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Leveraging Social Media Data for Forest Fires Sentiment Classification: A Data-Driven Method by Warih Maharani, Hanita Daud, Noryanti Muhammad, Evizal Abdul Kadir

“…Methods: The precision, recall, and F1 score of 2, 3, and 4 determined in the LSTM models with commonly available sentiment analysis tools, such as the Vader Sentiment Analysis and SentiWordNet was used to evaluate the performance of the model. …”
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Analisis Sentimen Kebijakan New Normal dengan Menggunakan Automated Lexicon Senti N-Gram by Rifki Akbar Siregar, Yuita Arum Sari, Indriati Indriati

“…In this study, it is proposed to use the Lexicon Senti-N-Gram for sentiment analysis in order to determine the effect of the Lexicon Senti-N-Gram on Indonesian sentiment analysis. …”
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Pendekatan Ensemble untuk Analisis Sentimen Covid19 Menggunakan Pengklasifikasi Soft Voting by Nova Agustina, Candra Nur Ihsan

“…., Soft Voting for sentiment analysis related to Covid19 on Twitter social media. …”
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An explainable sentiment prediction model based on the portraits of users sharing representative opinions in social sensors by Bin Wang, Enhui Wang, Zikun Zhu, Yangyang Sun, Yaodong Tao, Wei Wang

“…There are two major issues in current models of sentiment analysis in social sensor networks. First, most existing models only analyzed the sentiment within the text but did not analyze the users, which led to the experimental results difficult to explain. …”
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Enhancing Business Intelligence by Means of Suggestive Reviews by Atika Qazi, Ram Gopal Raj, Muhammad Tahir, Erik Cambria, Karim Bux Shah Syed

“…In particular, it is observed that classifying suggestive sentences into implicit and explicit locutions works best when using a mixed sequential rule feature representation. Sentiment analysis achieves maximum performance when employing additional preprocessing in the form of negation handling and target masking, combined with sentiment lexicons.…”
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Analisis Sentimen Berbahasa Inggris Dengan Metode Lstm Studi Kasus Berita Online Pariwisata Bali by Ngakan Made Krisna Sedana, I Nyoman Saputra Wahyu Wijaya, I Ketut Resika Arthana

“…Sentiment analysis is carried out using the LSTM (Long-Term Memory) machine learning model, with news data that has been labeled with sentiment by experts according to the content of the news. …”
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Proficiency, Clarity, and Objectivity of Large Language Models Versus Specialists’ Knowledge on COVID-19's Impacts in Pregnancy: Cross-Sectional Pilot Study by Nicola Luigi Bragazzi, Michèle Buchinger, Hisham Atwan, Ruba Tuma, Francesco Chirico, Lukasz Szarpak, Raymond Farah, Rola Khamisy-Farah

“…The questionnaire assesses proficiency in providing accurate information on COVID-19 in relation to pregnancy. Text-mining, sentiment analysis, and readability (Flesch-Kincaid grade level and Flesch Reading Ease Score) were also conducted. …”
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Empirical Study on Emotional Perception and Restorative Effects of Suzhou Garden Landscapes: Text Mining and Statistical Analysis by Zhenyu Zhang, Xiaomeng Wang, Mu Jiang

“…We utilized the ROST CM6 software for high-frequency word extraction, semantic network analysis, and sentiment analysis to reveal the emotional perceptions of the public towards these gardens. …”
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Application of Quantum Recurrent Neural Network in Low-Resource Language Text Classification by Wenbin Yu, Lei Yin, Chengjun Zhang, Yadang Chen, Alex X. Liu

“…Text sentiment analysis is an important task in natural language processing and has always been a hot research topic. …”
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Analisis Sentimen Pada Sosial Media Twitter Terhadap Kualitas Jaringan Internet Telkomsel Menggunakan Ensemble K-Nearest Neighbour -Support Vector Machine by Muchammad Farchan Fachrudin, Cucun Very Angkoso, Doni Abdul Fatah

“…This sentiment analysis research uses machine learning algorithm models, namely K-Nearest Neighbor, Support Vector Machine, and KNN-SVM Ensemble which are majority vote-based and average-based. …”
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Analisis Sentimen untuk Identifikasi Bantuan Korban Bencana Alam berdasarkan Data di Twitter Menggunakan Metode K-Means dan Naive Bayes by Vincentius Riandaru Prasetyo, Gatum Erlangga, Delta Ardy Prima

“…Therefore, this study aims to conduct sentiment analysis from Twitter data to determine aid for victims of natural disasters in Indonesia. …”
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Analisis Sentimen Maskapai Penerbangan Menggunakan Metode Naive Bayes dan Seleksi Fitur Information Gain by Arif Bijaksana Putra Negara, Hafiz Muhardi, Indira Melinda Putri

“…The user reviews contained on the pegipegi.com website are currently very large so this makes it difficult and time consuming to read in its entirety. Therefore sentiment analysis is designed to help classify reviews into positive or negative categories so that they can provide airline recommendations based on the number of review categories. …”
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Analisis Sentimen pada Opini Pengguna Maskapai Penerbangan Menggunakan Hybrid Cuckoo Search by Nanang Fakhrur Rozi, Fandi Arianto, Dian Puspita Hapsari

“…However, the increasing number of opinion increases the difficulty of the consumer in assessing the quality of the airline quickly. Therefore, sentiment analysis is needed to accelerate the consumer in assessing the quality of airline services. …”
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