GitHub - farahdhaifa/naivebayes-kampus-merdeka-sentiment: 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%.

farahdhaifa / naivebayes-kampus-merdeka-sentiment Public

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%.

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Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
Data Komentar DL 900.csv		Data Komentar DL 900.csv
kamus perbaikan kata.xlsx		kamus perbaikan kata.xlsx
naivebayes_TF_IDF.ipynb		naivebayes_TF_IDF.ipynb
naivebayes_TFonly.ipynb		naivebayes_TFonly.ipynb