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Mochammad Reza Habibi

Biographic Data

ID6955001
NAMEMochammad Reza Habibi
GIVEN NAMESMochammad Reza
FAMILY NAMEHabibi
SIGNATUREHABIBI M R
AFFILIATIONSSepuluh Nopember Institute of Technology
ORCID0000-0003-0978-5185
VERIFIEDYes
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Indonesian Public Sentiment on Disasters

    Open Access•Bayu Setia Ismawandani, Wahyu Catur Wibowo et al.•ARTICLE•Journal of Posthumanism•2025

    This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…

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  • Indonesian Public Sentiment on Disasters

    Open Access•Bayu Setia Ismawandani, Wahyu Catur Wibowo et al.•ARTICLE•Journal of Posthumanism•2025

    This study analyzes Indonesian public responses to natural disasters using Twitter data through Topic Modeling (LDA) and Sentiment Analysis. The process includes data collection, preprocessing, modeling, and sentiment classification. Tweets with the keyword “bencana” were scraped and prepared for analysis. LDA revealed 15 main topics covering disaster causes, impacts, responses, and resilience. Sentiments were categorized as positive, neutral, or…

Computer Science (1 work) · Data science (1 work) · Indonesian (1 work) · Linguistics (1 work) · Natural language processing (1 work) · Public Relations and Crisis Communication (1 work) · Sentiment analysis (1 work) · Social media (1 work) · World Wide Web (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae