Abstract:
Instagram is one of the most used social media in Indonesia. Instagram is often used
by young people and government agencies to upload their activities. One feature on
Instagram for uploading is posting. In the posting feature, Instagram users can write
their opinions on the post, including the DPR RI Instagram. Instagram users can give
both positive and negative opinions on posts made by the DPR RI Instagram account
so that it is easy to give aspirations. One way to get information through Instagram is
to do sentiment analysis. The algorithm that will be used in this research is Support
Vector Machine (SVM). The results of this study found that the average negative
opinion each month was greater that is equal to 58.69% compared to positive
opinions which only amounted to 41.31%. From the SVM classification results
obtained the highest average accuracy obtained by using the Rational Basic Function
(RBF) kernel which is equal to 65.87%, and the lowest average accuracy value
obtained using the Polynomial kernel which is equal to 57.44%.
