CD Skripsi

Analisa Sentimen Masyarakat Terhadap Isu Lgbt (Lesbian, Gay, Bisex, Dan TRANSGENDER) Menggunakan Algoritma Support Vector Machine

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ABSTRACT
Sentiment analysis is the process of analyzing data that will be classified according to the class of sentiment in an argument. The rise of LGBT (Lesbian, Gay, Bisexual, and Transgender) talk on the Twitter application has caused people to give positive and negative sentiments. So that the sexual culture becomes very sensitive among Indonesian people. The author uses a method for classifying with several stages, namely data collection, preprocessing, labeling, Term Frequency (TF) – Inverse Document Frequency (IDF) weighting, Support Vector Machine (SVM) classification with the Cross Validation method. Based on the stages of the method that has been carried out, a Machine Learning score is obtained with an average value of 0.776. The amount of data used in the study was 1000 with positive sentiments of 220 and negative sentiments of 780.
Keyword: LGBT, Sentiment, Term Frequency (TF) – Inverse Document Frequency (IDF), Support Vector Machine.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

1803113122

Penerbit

Pekanbaru : Universitas Riau - FMIPA - Sistem Informasi., 2023

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

1803113122

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

SISTEM INFORMASI

Info Detail Spesifik

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Pernyataan Tanggungjawab

tethi

Versi lain/terkait

Lampiran Berkas

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