Dataset indonesia untuk analisis sentimen

R Ferdiana, F Jatmiko, DD Purwanti… - … Teknik Elektro dan …, 2019 - journal.ugm.ac.id
This paper present a text dataset which can be used in the field of text analysis, especially
sentiment analysis. This dataset covers the primary data which consists of 10,806 lines of …

[PDF][PDF] Analisis Opini Pengguna Aplikasi New PLN Mobile Menggunakan Text Mining

HB Tambunan, TWD Hapsari - 2021 - academia.edu
Media sosial pada saat ini menjadi suatu media yang sangat populer untuk menyampaikan
opini oleh masyarakat di Indonesia. Melalui media sosial pengguna dapat dengan mudah …

Penerapan Analisis Sentimen Pada Twitter Berbahasa Indonesia Sebagai Pemberi Rating

N Monarizqa - 2014 - etd.repository.ugm.ac.id
Twitter kini menjadi salah satu social media yang paling sering digunakan dan memberi
pengaruh, utamanya di Indonesia. Namun, analisis sentimen pada Twitter berbahasa …

Improving bi-lstm performance for indonesian sentiment analysis using paragraph vector

A Purwarianti, IAPA Crisdayanti - … International Conference of …, 2019 - ieeexplore.ieee.org
Bidirectional Long Short-Term Memory Network (Bi-LSTM) has shown promising
performance in sentiment classification task. It processes inputs as sequence of information …

Twitter's sentiment analysis on GSM services using Multinomial Naïve Bayes

AR Susanti, T Djatna… - … Computing Electronics and …, 2017 - telkomnika.uad.ac.id
Telecommunication users are rapidly growing each year. As people keep demanding a
better service level of Short Message Service (SMS), telephone or data use, service …

An evaluation of Twitter river and Logstash performances as elasticsearch inputs for social media analysis of Twitter

PPI Langi, W Najib, TB Aji - 2015 International Conference …, 2015 - ieeexplore.ieee.org
Social media analysis of Twitter can be used to show a rating of someone, a service, or a
product from Twitter user's perspective. As one of social media with the highest number of …

Analysis of the indonesian cyberbullying through data mining: the effective identification of cyberbullying through characteristics of messages

H Margono - 2019 - vuir.vu.edu.au
The use of social networks sites such as Facebook, Twitter, YouTube, Instagram, and
LinkedIn has increased rapidly in the last decade. It has been pointed out in the international …

Survei: topik dan tren analisis sentimen pada media online

S Adi, M Wulandari, AK Mardiana… - SEMNASTEKNOMEDIA …, 2018 - ojs.amikom.ac.id
Secara umum terdapat dua tipe informasi tekstual di media online yaitu fakta dan opini.
Fakta adalah pernyataan objektif mengenai entitas dan kejadian di dunia sedangkan opini …

[PDF][PDF] Bluetooth Low Energy (Ble) For Tracking And Data Analytics Towards Mice Hybrid Visitors In The New Normal Covid-19 Era

M Galinium, G Ferdinand, DA Dyondra… - Business Excellence …, 2021 - researchgate.net
Abstract MICE (Meeting, Incentive, Conference, Exhibition) has shown a significant promise
in its industry growth by virtue of its usage in some Indonesia's big events, such as the 2018 …