Usability and acceptance of crowd-based early warning of harmful algal blooms
Crowdsensing has become an alternative solution to physical sensors and apparatuses.
Utilizing citizen science communities is undoubtedly a much cheaper solution. However …
Utilizing citizen science communities is undoubtedly a much cheaper solution. However …
Aspect-based sentiment analysis on candidate character traits in Indonesian presidential election
This paper is part of our research that was conducted during the campaign period of the
Indonesian presidential election between 2018 and 2019. We collected millions of data from …
Indonesian presidential election between 2018 and 2019. We collected millions of data from …
[PDF][PDF] Predicting Gender of Brazilian Names Using Deep Learning
RCB Rego, VML Silva - arXiv preprint arXiv:2106.10156, 2021 - researchgate.net
Predicting gender by the name is not a simple task. In many applications, especially in the
natural language processing (NLP) field, this task may be necessary, mainly when …
natural language processing (NLP) field, this task may be necessary, mainly when …
Predicting gender by first name using character-level machine learning
RCB Rego, VML Silva, VM Fernandes - arXiv preprint arXiv:2106.10156, 2021 - arxiv.org
Predicting gender by the first name is not a simple task. In many applications, especially in
the natural language processing (NLP) field, this task may be necessary, mainly when …
the natural language processing (NLP) field, this task may be necessary, mainly when …
[PDF][PDF] Usability and Acceptance of Alboom: A Crowd-Based Early Warning System for Harmful Algal Blooms
Alboom is a crowd-based smartphone application and database system to record, store,
analyze, share, and provide early warning information regarding harmful algal blooms …
analyze, share, and provide early warning information regarding harmful algal blooms …