[PDF][PDF] Emotion detection in Twitter social media using long short-term memory (LSTM) and fast text
MA Riza, N Charibaldi - Int. J. Artif. Intell. Robot, 2021 - academia.edu
Emotion detection is important in various fields such as education, business, employee
recruitment. In this study, emotions will be detected with text that comes from Twitter because …
recruitment. In this study, emotions will be detected with text that comes from Twitter because …
Sentiments analysis of customer satisfaction in public services using K-nearest neighbors algorithm and natural language processing approach
EH Muktafin, P Pramono… - … Computing Electronics and …, 2021 - telkomnika.uad.ac.id
Customer satisfaction is very important for public service providers, customer satisfaction
can be delivered with a survey application or writing criticism that can be used to evaluate …
can be delivered with a survey application or writing criticism that can be used to evaluate …
Twitter Sentiment Analysis using Machine Learning
A Ikram, M Kumar, G Munjal - 2022 12th International …, 2022 - ieeexplore.ieee.org
In this exponentially evolving age of technology, the emergence of social media has
enveloped all life forms on our planet. Twitter is that social media platform on which millions …
enveloped all life forms on our planet. Twitter is that social media platform on which millions …
Aplikasi Chatbot Konsultan Bisnis untuk UMKM Berbasis Dialogflow pada Platform Android
RG Guntara - Indonesian Journal of Digital Business, 2022 - ejournal.upi.edu
Strategi yang dipersiapkan dengan matang akan berdampak pada pemberian pelayanan
yang terbaik kepada pelanggan. Penetapan strategi sebuah perusahaan agar berhasil …
yang terbaik kepada pelanggan. Penetapan strategi sebuah perusahaan agar berhasil …
Implementasi Chatbot Deteksi Depresi Dini Pada Mahasiswa Dengan Phq-9 (Patient Health Questionnaire) Menggunakan NLP (Natural Language Processing).
MND Miharja, S Adhkar - 2022 - gotriple.eu
One of the serious problems in public health according to the World Health Organization
(WHO) is depression. According to WHO depression ranks fourth disease in the world. When …
(WHO) is depression. According to WHO depression ranks fourth disease in the world. When …
Analisis Komentar Potensial pada Social Commerce Instagram Menggunakan TF-IDF
RL Musyarofah, EU Utami… - Jurnal Eksplora …, 2020 - eksplora.stikom-bali.ac.id
Komentar di Instagram sangat berharga, informatif dan sangat membantu. Bagi penjual
komentar adalah fitur yang menunjukkan respons pengguna Instagram terhadap produk …
komentar adalah fitur yang menunjukkan respons pengguna Instagram terhadap produk …
Classification of MTI Student Thesis Documents at Bina Darma University Palembang Using Naïve Bayes
One of the resources that students might use as a guide when conducting research is the
university library. A research thesis written by former students serves as reference material …
university library. A research thesis written by former students serves as reference material …
Pengembangan aplikasi QNA untuk pendaftaran mahasiswa baru stmik akakom
STMIK AKAKOM annually opens new student registration through offline and online media.
Through online media, several media such as websites, social media and email are used …
Through online media, several media such as websites, social media and email are used …
Klasifikasi Emosi Pada Teks Menggunakan Metode Deep Learning
DH Fudholi - 2022 - dspace.uii.ac.id
Emosi merupakan reaksi dari tubuh manusia ketika mendapatkan reaksi terhadap sesuatu
yang dapat disampaikan secara nonverbal yaitu dengan menunjukan ekspresi wajah …
yang dapat disampaikan secara nonverbal yaitu dengan menunjukan ekspresi wajah …
U-TAPIS Sal-Tik: Ty** Error Detection Using Random Forest Algorithm
MV Overbeek, B Glennardy… - Ultimatics: Jurnal …, 2024 - ejournals.umn.ac.id
The development of technology in the field of journalism has grown very rapidly. However, in
the field of journalism there are still frequent deviations from the language on online news …
the field of journalism there are still frequent deviations from the language on online news …