Aspect-Based Sentiment Analysis on Twitter Using Logistic Regression with FastText Feature Expansion

Autor: Alhakiem, Hanif Reangga, Setiawan, Erwin Budi

Publikováno v: Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 5 (2022): October 2022; 840-846
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi); Vol 6 No 5 (2022): Oktober 2022; 840-846

Social media has recently been widely used by users, especially Indonesians, as a place to express themselves in sentences, pictures, sounds, or videos. Twitter is one of the social media favored by people of diverse ages. Twitter is a social media t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn25800760::ad1ecd64fcb0ef7eede78d48e4209878
http://jurnal.iaii.or.id/index.php/RESTI/article/view/4429