ANALISIS SENTIMEN PADA TWITTER TERHADAP UIN RADEN FATAH MENGGUNAKAN SUPPORT VECTOR MACHINE

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Summary

Public opinion regarding UIN Raden Fatah Palembang was analysed using Support VectorMachine (SVM) method in determining the positive or negative sentiment of a tweet by doing initial processing for unstructured data from Twitter.

Type
article
Published
2022-03-17
Cited by
3
References
14
Access
Open access

Keywords

Support vector machine, Social media, Sentiment analysis, Computer science, Service (business)

References

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