Revealing East Java Community Sentiments Towards Poverty: A Comparative Study Using LDA and BERT
DOI:
https://doi.org/10.48047/6bt8xq04Keywords:
.Abstract
Through sentiment analysis on the social media platform Twitter, this study explores
public opinion on poverty issues in East Java, Indonesia. By understanding public perception,
policymakers can develop more effective poverty alleviation strategies. By applying the BERT
and LDA models, two dominant themes were identified: public concern about poverty conditions
and social comparison between the rich and the poor. The BERT model achieved an accuracy of
75.6%, demonstrating the potential of social media analysis to understand public perception and
inform effective poverty alleviation strategies. Despite achieving fairly good accuracy values, it
should be noted that data limitations and sample representation may affect the generalizability of
the study results. The results of this study indicate that sentiment analysis has significant potential
in informing public policy, especially in the context of poverty alleviation. However, limitations
such as data quality and representation need to be considered for future research.
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