PERBANDINGAN METODE BACKPROPAGATION DAN SUPPORT VECTOR MACHINE DALAM KLASIFIKASI EMOSI PADA PESAN TEKS

ANGELLINA, RIA and Yusliani, Novi and Miraswan, Kanda Januar (2020) PERBANDINGAN METODE BACKPROPAGATION DAN SUPPORT VECTOR MACHINE DALAM KLASIFIKASI EMOSI PADA PESAN TEKS. Undergraduate thesis, Sriwijaya University.

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Abstract

Twitter merupakan salah satu media sosial bertukar informasi berbasis pesan teks untuk mencurahkan is hati dan berisi informasi tentang sikap serta keadaan emosi seseorang. Komunikasi berbasis teks tidak dapat memperlihatkan emosi seseorang secara langsung sehingga perlu dilakukan pengklasifikasian. Pada penelitian ini, dilakukan klasifikasi emosi senang dan sedih menggunakan metode Backpropagation dan Support Vector Machine serta membandingkan hasil akurasi. Tahapan text preprocessing yang digunakan yaitu case folding, tokenization, stopword removal dan stemming serta pembobotan kata dengan TF-IDF. Hasil perbandingan akurasi menunjukkan bahwa Support Vector Machine memiliki performa yang lebih baik dengan hasil akurasi sebesar 81% daripada Backpropagation hanya mendapatkan hasil akurasi sebesar 53%. Kata Kunci : Twitter, Teks, Klasifikasi Emosi, Backpropagation, Support Vector Machine.

Item Type: Thesis (Undergraduate)
Uncontrolled Keywords: Twitter, Teks, Klasifikasi Emosi, Backpropagation, Support Vector Machine.
Subjects: P Language and Literature > P Philology. Linguistics > P98-98.5 Computational linguistics. Natural language processing
Divisions: 09-Faculty of Computer Science > 55201-Informatics (S1)
Depositing User: Users 7579 not found.
Date Deposited: 25 Aug 2020 04:54
Last Modified: 25 Aug 2020 04:54
URI: http://repository.unsri.ac.id/id/eprint/33562

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