Design of Hoax Filtering Plugin in Twiter Application Using SVM Method
Rancang Bangun Plugin Filtering Hoax di Aplikasi Twiter Menggunakan Metode SVM
DOI:
https://doi.org/10.21070/ups.5719Keywords:
SVM, TF-IDF, TwitterAbstract
People use a variety of social media platforms to communicate with one another and voice their opinions. There are instances of insults that constitute hate speech when there is room for opinion and freedom of speech. Individuals of note, whose developments, conduct, and proclamations have advantages and disadvantages, are the objectives of this can't stand discourse. In this study, public sentiment tweets about public figures are categorized using the support vector machine (SVM) classification technique. A dataset of 700 tweets is utilized to do this, and the reason for this technique is to figure out how well SVM functions with TF-IDF weighting.
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