Hyuto/Analisis-Sentimen-Corona-DKI-Jakarta
Analisis Sentimen Corona DKI Jakarta menggunakan TF-IDF Vectorizer & Support Vector Machine
This tool helps government officials, public health researchers, or social scientists understand public sentiment in Jakarta regarding the COVID-19 pandemic. By analyzing Twitter data, it can identify how people feel about the pandemic, providing insights into the community's emotional response. You input Twitter search queries and geographical filters, and it outputs an analysis of sentiment (positive, negative, or neutral) in those tweets.
No commits in the last 6 months.
Use this if you need to quickly gauge public opinion or emotional reactions related to specific topics or events within a defined geographical area on Twitter.
Not ideal if you require real-time, high-volume social listening across multiple platforms, or deep, qualitative thematic analysis beyond basic sentiment.
Stars
17
Forks
6
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 11, 2023
Commits (30d)
0
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