PERANCANGAN MODEL ANALISIS SENTIMEN LAYANAN LOKET.COM DI TWITTER DENGAN METODE TEXT MINING
Loket.com is an e-commerce company providing online ticket sales services that experienced growth in 2023 due to the resumption of events post the Covid-19 pandemic. To facilitate continuous improvement in their business processes, Loket.com requires information about customer satisfaction levels...
Saved in:
Main Author: | Hanendya Ega Cristi K, Nicolaus |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/77726 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
PERANCANGAN SISTEM ANALISIS SENTIMEN UNTUK KLASIFIKASI SENTIMEN KONSUMEN TIKET.COM DI TWITTER
by: Hanifah Syarief, Aqila -
PERANCANGAN PROTOTIPE SISTEM ANALISIS SENTIMEN ULASAN KONSUMEN APLIKASI TIKET.COM
by: Raihan Dzaky Musyaffa, Muhammad -
Text Mining untuk Analisis Sentimen Terhadap Jasa Telekomunikasi Seluler Indonesia Pada Media Sosial Twitter dengan Metode Support Vector Machine.
by: Sartika Aprilia, 081511833029
Published: (2019) -
ANALISIS SENTIMEN TERHADAP ULASAN PENGGUNA JASA TRANSPORTASI ONLINE PADA MEDIA SOSIAL TWITTER MENGGUNAKAN TEXT MINING
METODE SUPPORT VECTOR MACHINE
by: KHOIRUNNISA ALFADISTYA, 081511833010
Published: (2019) -
PERANCANGAN SISTEM EKSTRAKSI DAN ANALISIS SENTIMEN KOMENTAR PENGGUNA MYPERTAMINA DI TWITTER
by: W. V. Hutabarat, Andita