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mendikbud

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farahdhaifa / naivebayes-kampus-merdeka-sentiment

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this project is about how to process sentiment analysis using Naive Bayes Classifier with and without TF-IDF term weighting. The case is about Kampus Merdeka New Policy from KEMENDIKBUD RI on Youtube comments. The conclusion is using TF-IDF give a better result with accuracy 96%.

python machine-learning data-mining naive-bayes sklearn naive-bayes-classifier classification tf-idf term-weighting kemendikbud kampus-merdeka mendikbud
  • Updated Feb 2, 2021
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