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Akademický článek

Perancangan model kemasan distribusi minuman kopi cup menggunakan kansei engineering (studi kasus kopi ruang normal)

Autor: Novi Purnama Sari, Iffat Halimatus Sa’diyah, Muryeti Muryeti

Publikováno v: Agrointek, Vol 18, Iss 4, Pp 871-881 (2024)

Ruang Normal Coffee UMKM implements online buying and selling in marketing their products, but these UMKM do not yet have distribution packaging to protect the product during delivery. Based on the field survey, the distribution problems were the cof

Externí odkaz: https://doaj.org/article/0c4951b25b3646eeaa4c536c06a4ad19

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Akademický článek

Analysis of K-NN with the Integration of Bag of Words, TF-IDF, and N-Grams for Hate Speech Classification on Twitter

Autor: Kuncoro Hadi, Ema Utami

Publikováno v: Jurnal Informatika, Vol 12, Iss 2, Pp 289-298 (2024)

Social media has emerged as one of the primary communication channels in the modern world, but it has simultaneously become a platform where hate speech can spread easily. This study attempts to evaluate the performance of a hate speech classificatio

Externí odkaz: https://doaj.org/article/69fcd141d0e44306a024f4cfa3f80669

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Akademický článek

Analisis Sentimen Terhadap Ulasan Aplikasi Shopee di Google Play Store Menggunakan Metode TF-IDF dan Long Short-Term Memory)

Autor: Musfiroh Musfiroh, Abu Tholib, Zainal Arifin

Publikováno v: Journal of Electrical Engineering and Computer, Vol 6, Iss 2, Pp 371-381 (2024)

Pengunjung Shopee semakin meningkat dari tahun 2022 hingga 2023. Karena peningkatan itu, semakin banyak pengguna yang berkomentar negatif atau positif. Maka, mengetahui sentimen pengguna pada aplikasi Shopee dapat mengetahui perilaku pelanggan dan me

Externí odkaz: https://doaj.org/article/aef806a80ecd4c4f9da39fdb4465afdf

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Akademický článek

Pengaruh Komposisi Split Data Terhadap Performa Akurasi Analisis Sentimen Algoritma Naïve Bayes dan SVM

Autor: Yoga Adi Prasetyo, Ema Utami, Ainul Yaqin

Publikováno v: Journal of Electrical Engineering and Computer, Vol 6, Iss 2, Pp 382-390 (2024)

Analisis sentimen merupakan bidang yang penting dalam pengolahan bahasa alami dan aplikasi sosial media modern. Penelitian ini menginvestigasi pengaruh dari variasi komposisi split data terhadap performa akurasi model analisis sentimen menggunakan SV

Externí odkaz: https://doaj.org/article/def0e3b1d4f44c95b259664ae226d1a4

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Akademický článek

TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines

Autor: Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

Publikováno v: BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-10 (2024)

Abstract Background Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promising results in the free-form radiological reports’ classification in the respective medical domain. In order to class

Externí odkaz: https://doaj.org/article/03c0cd24d91e4a289ccfda007587f111

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Akademický článek

Sistem Rekomendasi Hybrid Menggunakan Metode Switching

Autor: Muhammad Rizki, Rianto Rianto

Publikováno v: JuTISI (Jurnal Teknik Informatika dan Sistem Informasi), Vol 10, Iss 2, Pp 149-160 (2024)

Perkembangan teknologi memaksa pelaku bisnis untuk memberikan layanan terbaik dengan menjadikan sistem rekomendasi sebagai salah satu solusi untuk menjaga loyalitas konsumen. Sudah banyak dilakukan penelitian terkait dengan sistem rekomendasi untuk m

Externí odkaz: https://doaj.org/article/7a4d5bd111fc4993aced2c5e30799ee3

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Akademický článek

Intelligent Search Engine Tool for Querying Database Systems

Autor: Gagandeep Kaur, Poorva Agrawal, Hemlata Shelar, Gebrehiwot Teklehaymanot Abraha

Publikováno v: International Journal of Mathematical, Engineering and Management Sciences, Vol 9, Iss 4, Pp 914-930 (2024)

The amount of data being produced and used every day is increasing rapidly. Different operations are performed on the data that is stored in database systems to generate meaningful information. The task of retrieving data from the database is difficu

Externí odkaz: https://doaj.org/article/35e774d2d05849ed8618a07079b97325

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Akademický článek

A semantic-based model with a hybrid feature engineering process for accurate spam detection

Autor: Chira N. Mohammed, Ayah M. Ahmed

Publikováno v: Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-16 (2024)

Abstract Detecting spam emails is essential to maintaining the security and integrity of email communication. Existing research has made significant progress in developing effective spam detection models, but challenges remain in improving classifica

Externí odkaz: https://doaj.org/article/b513881647fc409c92750c330d2055c6

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Akademický článek

TF-IDF combined rank factor Naive Bayesian algorithm for intelligent language classification recommendation systems

Autor: Yonglian Luo, Cailin Lu

Publikováno v: Systems and Soft Computing, Vol 6, Iss , Pp 200136- (2024)

With the continuous improvement of smart language systems, a large amount of language text data has emerged. How to efficiently and accurately process these text data has become an important challenge. Therefore, a speech classification recommendatio

Externí odkaz: https://doaj.org/article/b4b18cba808a4f4897a8b6f1bde767b0

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