Nathaniel Oco
De La Salle University
29 Papers
86 Citations
Nathaniel Oco is an academic researcher from De La Salle University. The author has contributed to research in topics: Computer science & Disaster risk reduction. The author has an hindex of 7, co-authored 26 publications.
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Papers
Social media and civic engagement during calamities: the case of Twitter use during typhoon Yolanda
TL;DR: This paper explored the nature and promise of citizen engagement in Twitter during calamities, specifically in the context of typhoon Yolanda, through topic modeling and content analysis, and highlighted the active engagement of celebrities in disaster tweets, and analyzed whether and how these can be construed as acts of civic engagement.
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Qualitative data analysis of disaster risk reduction suggestions assisted by topic modeling and word2vec
Ken D. Gorro,Jeffrey Rosario Ancheta,Kris A. Capao,Nathaniel Oco,Rachel Edita Roxas,Mary Jane G. Sabellano,Brandie Nonnecke,Shrestha Mohanty,Camille Crittenden,Ken Goldberg +9 more
- 01 Dec 2017
TL;DR: The result shows that the participants give importance to community preparedness for emergency, helping the barangay in clean-up drive, and awareness through seminars and information dissemination.
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Using Topic Modelling to make sense of typhoon-related tweets
Cerino Ligutom,Jay Vincent Orio,Dyannah Alexa Marie Ramacho,Chuchi Montenegro,Rachel Edita Roxas,Nathaniel Oco +5 more
- 01 Nov 2016
TL;DR: A framework that uses Biterm Topic Modelling (BTM) to make sense of typhoon-related tweets and revealed different Filipino behaviors during a typhoon such as determination to rise up after the typhoon, voicing out concerns, and using word play.
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Dice's coefficient on trigram profiles as metric for language similarity
Nathaniel Oco,Leif Romeritch Syliongka,Rachel Edita Roxas,Joel P. Ilao +3 more
- 01 Nov 2013
TL;DR: D Dice's coefficient on trigram profiles as metric for language similarity is presented and it is revealed that phonetic spelling play an important role in language similarity.
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•Proceedings Article
Pattern Matching Refinements to Dictionary-Based Code-Switching Point Detection
Nathaniel Oco,Rachel Edita Roxas +1 more
- 01 Nov 2012
TL;DR: This study presents the development and evaluation of pattern matching refinements (PMRs) to automatic code switching point (CSP) detection and shows an improvement to reported accuracy rates of dictionary-based approaches, which are in the range of 75.22%-76.26%.
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