Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network
Media sosial sebagai media informasi dan komunikasi mulai berkembang pesat sejak internet mudah diakses. Orang dengan mudah menyatakan pendapat, ekspresi, opini, dan informasi melalui tulisan pada media sosial. Opini atau informasi pada media sosial dapat digunakan untuk menilai baik atau buruk suat...
Saved in:
Main Authors: | Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo |
---|---|
Format: | Article |
Language: | Indonesian |
Published: |
University of Brawijaya
2020-02-01
|
Series: | Jurnal Teknologi Informasi dan Ilmu Komputer |
Online Access: | https://jtiik.ub.ac.id/index.php/jtiik/article/view/1758 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analisis Sentimen Bahasa Indonesia pada Twitter Menggunakan Struktur Tree Berbasis Leksikon
by: Feby Tri Saputra, et al.
Published: (2021-02-01) -
Comparative Analysis of TF-IDF and Word2Vec in Sentiment Analysis: A Case of Food Reviews
by: Zhan Zerui
Published: (2025-01-01) -
Text vectorization in sentiment analysis: A comparative study of TF-IDF and Word2Vec from Amazon Fine Food Reviews
by: Lu Jiaxin
Published: (2025-01-01) -
Matching Transportation Ontologies with Word2Vec and Alignment Extraction Algorithm
by: Xingsi Xue, et al.
Published: (2021-01-01) -
SynoExtractor: A Novel Pipeline for Arabic Synonym Extraction Using Word2Vec Word Embeddings
by: Rawan N. Al-Matham, et al.
Published: (2021-01-01)