ShinyQ/Indobert_University-Feedback-Sentiment-Analysis_Model
A fine tuned IndoBERT model for University Sentiment On Social Media
This tool helps university administrators and education sector professionals understand public opinion by analyzing Indonesian social media posts about university services. It takes raw Indonesian tweets related to a university and tells you whether the sentiment expressed is positive, neutral, or negative. The output can be used to create dashboards tracking academic service quality.
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Use this if you need to quickly gauge the general feeling (positive, neutral, or negative) in Indonesian tweets specifically about a university's services or academic offerings.
Not ideal if you need to analyze highly informal Indonesian slang, detect sarcasm, identify hate speech, or evaluate sentiment in domains other than university-related topics.
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Jun 03, 2025
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