Joint Distribution pada Weighted Majority Vote (WMV) untuk Peningkatan Kinerja Sentiment Analysis Tersupervisi pada Dataset Twitter by Bagus Setya Rintyarna

“…Fokus penelitian ini adalah untuk pengembangan teknik sentiment analysis berbasis machine learning yang disebut juga teknik tersupervisi pada dataset Twitter. Sebagian besar sentiment analysis pada dataset Twitter berbahasa Indonesia mengandalkan single machine learning algorithm. …”
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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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Wykorzystanie Twittera w działalności organizacji pożytku publicznego by Marian Oliński, Piotr Szamrowski

Subjects: “…Twitter…”
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Where ? When ? And how often ? What can we learn about daily urban mobilities from Twitter data and Google POIs in Bangkok (Thailand) and which perspectives for dengue studies ? by Alexandre Cebeillac, Eric Daudé, Thomas Huraux

Subjects: “…Twitter…”
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Wykorzystanie Twittera w działalności organizacji pożytku publicznego by Marian Oliński, Piotr Szamrowski

Subjects: “…Twitter…”
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Description of Weight-Related Content and Recommended Dietary Behaviors for Weight Loss Frequently Reposted on X (Twitter) in English and Japanese: Content Analysis by Fumi Oono, Mai Matsumoto, Risa Ogata, Mizuki Suga, Kentaro Murakami

“…Weight-related content frequently shared on social media can reflect public recognition and affect users’ behaviors and perceptions. Although X (Twitter) is a popular social media platform, few studies have revealed the content of weight-related posts or details of dietary behaviors for weight loss shared on X. …”
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Optimized Novel Text Embedding Approach for Fake News Detection on Twitter X: Integrating Social Context, Temporal Dynamics, and Enhanced Interpretability by Mahmoud AlJamal, Rabee Alquran, Ayoub Alsarhan, Mohammad Aljaidi, Wafa’ Q. Al-Jamal, Ali Fayez Alkoradees

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COVID-19 Pandemisi Döneminde Sinema Salonlarının Sosyal Medya Kullanımı: Beyoğlu Sineması Örneği by Özgü Yolcu

Subjects: “…twitter…”
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Comparing ChatGPT And LSTM In Predicting Changes In Quarterly Financial Metrics by Vitali Chaiko

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Fine-Grained Arabic Post (Tweet) Geolocation Prediction Using Deep Learning Techniques by Marwa K. Elteir

Subjects: “…Twitter…”
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Legitimación y deslegitimación de la violencia policial mediante racionalización en Twitter: el caso del paro nacional universitario en Colombia de 2018 by Serhat Tutkal

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RESEARCH OF POLITICAL COMMUNICATIONS: THE STATE AND SOCIAL MEDIA by O. Kryshtanovskaya, A. M. Filippova

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Coronavirus Pandemic Analysis Through Tripartite Graph Clustering in Online Social Networks by Xueting Liao, Danyang Zheng, Xiaojun Cao

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SOSYAL MEDYA VE YEREL SEÇİMLER: AK PARTİ #gönülbelediyeciliği ETİKETİ ÜZERİNE BİR ANALİZ by Övünç Meriç Fermanoğlu

Subjects: “…twitter…”
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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

“…Banyak korban bencana alam di Indonesia menggunakan Twitter untuk meminta bantuan seperti makanan, air bersih, dan lainnya. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Sasaran utama dari studi ini adalah mengevaluasi pandangan masyarakat di platform Twitter pada Motor XYZ, khususnya pada perbincangan seputar isu rangka motor. …”
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Understanding the current backlash against LGBTIQ+ rights through the lens of heteroactivism: A case study of the International Organization for the Family’s transnational norm diffusion on Twitter by Strand Cecilia, Eriksson Åsa, Svensson Jakob

“…The analysis is focused on the organisation’s Twitter (now X) account and we draw on theories of network media logic, connective action, and connective emotions. …”
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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

“…Dalam penelitian ini data yang diambil berasal dari Twitter dengan rentang waktu 7 Juli 2020 hingga 31 Desember 2022 dengan total jumlah data sebesar 30004 data dan diambil sampel yang diberi label sebesar 3900 data. …”
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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

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An Analysis of Disinformation and Bot Accounts Under the Hashtag #Darbeyehayir (Nocoup) by Semra Demirdiş

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