PERBANDINGAN TEKNIK PEMBOBOTAN FAST TEXT DAN WORD2VEC UNTUK DETEKSI MULTICLASS EMOSI MENGGUNAKAN METODE CONV-LSTM
Emotions are one aspect of human psychology which includes the ability to control a feeling and behavior that creates a way of self-expression that is in line with the environment. The source of data collection in processing the emotion detection process with text comes from social media Twitter. So...
Saved in:
Main Author: | Salwa Ziada Salsabiila, (Author) |
---|---|
Format: | Book |
Published: |
2023-07-03.
|
Subjects: | |
Online Access: | Link Metadata |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
COMPARISON ACCURACY OF WORD EMBEDDING WORD2VEC, GLOVE, DAN FASTTEXT USING SUPPORT VECTOR MACHINE FOR SENTIMENT ANALYSIS SPOTIFY APP REVIEWS
by: Margaretha Anjani,
Published: (2023) -
PERBANDINGAN METODE WORD2VEC DAN TF-IDF DENGAN SVM UNTUK KLASIFIKASI TEKS PADA MEDIA SOSIAL TWITTER (STUDI KASUS PEMILIHAN LEGISLATIF 2024)
by: Mujtahidul Haq Mahyunda, -
Published: (2023) -
ANALISIS SENTIMEN PADA ULASAN PENGGUNA APLIKASI MAXIM MENGGUNAKAN METODE KLASIFIKASI RANDOM FOREST DAN EKSTRAKSI FITUR WORD2VEC
by: Rafid Ammar Adinegoro,
Published: (2023) -
ESTIMASI POSE KEPALA MENGGUNAKAN HISTOGRAM OF ORIENTED GRADIENTS DAN MULTICLASS SUPPORT VECTOR MACHINE
by: Ambiya Wikarsa, -
Published: (2019) -
Z več znanja o motnjah razpoloženja do izhodov iz labirintov Izkušnje in razmisleki
Published: (2019)