onpilot/sentimen-bahasa
Analisis sentimen teks bahasa Indonesia dengan Support Vector Machine (SVM): Perbandingan Leksikon dan Metode Ekstraksi Fitur
This project helps social media analysts and researchers understand public opinion from Indonesian text. It takes raw social media posts (like tweets) in Indonesian and classifies them by sentiment (positive, negative, neutral) regarding specific topics. The output provides insights into prevailing public feelings, useful for sentiment analysis practitioners.
No commits in the last 6 months.
Use this if you need to analyze the sentiment of Indonesian social media text and want to compare different methods for doing so.
Not ideal if your text data is not in Indonesian or if you are not comfortable working with Python and Jupyter notebooks.
Stars
70
Forks
15
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 07, 2022
Commits (30d)
0
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