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Sentiment Analysis on Social Media Using Long Short-Term Memory and Word2Vec Feature Expansion Methods with Adam Optimization

Twitter is one of Indonesia's most popular social media, so it has many users. The intensity of Twitter use can be used to carry out sentiment analysis related to topics being widely discussed, especially regarding the 2024 Indonesian presidential election. To understand public views, public opinion...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sanabila Khoirunnisa, Erwin Budi Setiawan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Muhammadiyah University Press 2025-07-01
Schriftenreihe:Khazanah Informatika
Schlagworte:
sentiment analysis
lstm
tf-idf
word2vec
adam
twiter
Online-Zugang:https://journals2.ums.ac.id/khif/article/view/3957
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