Identifikasi Komentar Spam Pada Sosial Media

Abstract
The use of social media is already powerful and difficult to avoid. Social media users are not only limited to the general public, but also public figures and even economic actors who use social media as a means of marketing. In every post from the account owner, there will always be followers who can give likes and comments. Unfortunately, not all comments are related to the uploaded post. One of the most annoying comments is spam comments. Spam comments are comments that are not clear and contain about business (promos / selling), links or various other things that are promoting something. Using the Naive Bayes algorithm, this study wants to identify spam comments, especially on Instagram social media. Where the data is retrieved using the tools provided by Google. Which is then processed with the Rapidminer application to get the Naive Bayes calculation results.
Keywords
How to Cite

Zena Lusi, et al. (2024). Identifikasi Komentar Spam Pada Sosial Media. Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, 2(2). https://doi.org/10.61132/neptunus.v2i2.100

Zena Lusi; Ayu Eka Saputri; Tri Basuki Kurniawan, "Identifikasi Komentar Spam Pada Sosial Media," Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, vol. 2, no. 2, 2024.

Zena Lusi; Ayu Eka Saputri; Tri Basuki Kurniawan. "Identifikasi Komentar Spam Pada Sosial Media." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, vol. 2, no. 2, 2024.

Zena Lusi; Ayu Eka Saputri; Tri Basuki Kurniawan. "Identifikasi Komentar Spam Pada Sosial Media." Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi 2, no. 2 (2024).

Zena Lusi, et al. (2024) 'Identifikasi Komentar Spam Pada Sosial Media', Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi, 2(2). doi: 10.61132/neptunus.v2i2.100.

Zena Lusi; Ayu Eka Saputri; Tri Basuki Kurniawan. Identifikasi Komentar Spam Pada Sosial Media. Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi. 2024;2(2).

Artikel Terkait
Tren Sitasi Jurnal