riochr17/Analisis-Sentimen-ID
Analisis Sentimen Twitter dengan TFIDF-ANN
This tool helps you quickly understand the overall mood of Indonesian Twitter conversations by analyzing individual tweets. You input raw Indonesian tweets, and it tells you whether each tweet expresses a POSITIVE or NEGATIVE sentiment. It's designed for market researchers, brand managers, or political analysts who need to gauge public opinion on specific topics or campaigns.
No commits in the last 6 months.
Use this if you need to classify individual Indonesian tweets as either positive or negative to understand public sentiment.
Not ideal if you need to analyze sentiment in languages other than Indonesian or require a more nuanced sentiment classification beyond just positive/negative.
Stars
86
Forks
65
Language
Python
License
—
Category
Last pushed
Oct 03, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/riochr17/Analisis-Sentimen-ID"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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