Log in

Relevant bibliographies by topics / IndoBERT embedding

Contents

Journal articles
Conference papers

Academic literature on the topic 'IndoBERT embedding'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'IndoBERT embedding.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "IndoBERT embedding"

1

Asri, Yessy, Dwina Kuswardani, Amanda Atika Sari, and Atikah Rifdah Ansyari. "Word embedding for contextual similarity using cosine similarity." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 2 (2025): 1170. https://doi.org/10.11591/ijeecs.v38.i2.pp1170-1180.

Full text

Abstract:

Perspectives on technology often have similarities in certain contexts, such as information systems and informatics engineering. The source of opinion data comes from the Quora application, with a retrieval limit of the last 5 years. This research aims to implement Indo-bidirectional encoder representations from transformers (BERT), a variant of the BERT model optimized for Indonesian language, in the context of information system (IS) and information technology (IT) topic classification with 414 original data, which, after being augmented using the synonym replacement method, The generated da

APA, Harvard, Vancouver, ISO, and other styles

2

Yessy, Asri Dwina Kuswardani Amanda Atika Sari Atikah Rifdah Ansyari. "Word embedding for contextual similarity using cosine similarity." Indonesian Journal of Electrical Engineering and Computer Science 38, no. 2 (2025): 1170–80. https://doi.org/10.11591/ijeecs.v38.i2.pp1170-1180.

Full text

Abstract:

Perspectives on technology often have similarities in certain contexts, such as information systems and informatics engineering. The source of opinion data comes from the Quora application, with a retrieval limit of the last 5 years. This research aims to implement Indo-bidirectional encoder representations from transformers (BERT), a variant of the BERT model optimized for Indonesian language, in the context of information system (IS) and information technology (IT) topic classification with 414 original data, which, after being augmented using the synonym replacement method, The generated da

APA, Harvard, Vancouver, ISO, and other styles

3

Putra, Thariq Iskandar Zulkarnain Maulana, Suprapto Suprapto, and Arif Farhan Bukhori. "Model Klasifikasi Berbasis Multiclass Classification dengan Kombinasi Indobert Embedding dan Long Short-Term Memory untuk Tweet Berbahasa Indonesia." Jurnal Ilmu Siber dan Teknologi Digital 1, no. 1 (2022): 1–28. http://dx.doi.org/10.35912/jisted.v1i1.1509.

Full text

Abstract:

Purpose: This research aims to improve the performance of the text classification model from previous studies, by combining the IndoBERT pre-trained model with the Long Short-Term Memory (LSTM) architecture in classifying Indonesian-language tweets into several categories. Method: The classification text based on multiclass classification was used in this research, combined with pre-trained IndoBERT namely Long Short-Term Memory (LTSM). The dataset was taken using crawling method from API Twitter. Then, it will be compared with Word2Vec-LTSM and fined-tuned IndoBERT. Result: The IndoBERT-LSTM

APA, Harvard, Vancouver, ISO, and other styles

4

Mannix, Ilma Alpha, and Evi Yulianti. "Academic expert finding using BERT pre-trained language model." International Journal of Advances in Intelligent Informatics 10, no. 2 (2024): 280. http://dx.doi.org/10.26555/ijain.v10i2.1497.

Full text

Abstract:

Academic expert finding has numerous advantages, such as: finding paper-reviewers, research collaboration, enhancing knowledge transfer, etc. Especially, for research collaboration, researchers tend to seek collaborators who share similar backgrounds or with the same native languages. Despite its importance, academic expert findings remain relatively unexplored within the context of Indonesian language. Recent studies have primarily relied on static word embedding techniques such as Word2Vec to match documents with relevant expertise areas. However, Word2Vec is unable to capture the varying me

APA, Harvard, Vancouver, ISO, and other styles

5

Kamal, Ahmad, and Renita Astri. "Eksplorasi Sentimen Pengguna pada Aplikasi E-Commerce dengan Deep Learning." Jurnal Teknologi Dan Sistem Informasi Bisnis 7, no. 3 (2025): 435–41. https://doi.org/10.47233/jteksis.v7i3.2010.

Full text

Abstract:

Penelitian ini menganalisis sentimen pengguna terhadap aplikasi e‑commerce terkemuka di Indonesia melalui klasifikasi teks berbasis pembelajaran mendalam. Sebanyak 50.000 ulasan berbahasa Indonesia dikumpulkan secara berimbang dari Google Play dan App Store untuk Tokopedia, Shopee, Bukalapak, Lazada, dan Blibli. Dua pendekatan mutakhir diterapkan—jaringan Long Short‑Term Memory (LSTM) dengan embedding FastText pralatih dan Bidirectional Encoder Representations from Transformers (IndoBERT v2) yang disesuaikan. Pra‑proses data mencakup pembersihan teks, normalisasi slang, stemming, dan tokenisas

APA, Harvard, Vancouver, ISO, and other styles

6

Nabiilah, Ghinaa Zain, Islam Nur Alam, Eko Setyo Purwanto, and Muhammad Fadlan Hidayat. "Indonesian multilabel classification using IndoBERT embedding and MBERT classification." International Journal of Electrical and Computer Engineering (IJECE) 14, no. 1 (2024): 1071. http://dx.doi.org/10.11591/ijece.v14i1.pp1071-1078.

Full text

Abstract:

The rapid increase in social media activity has triggered various discussion spaces and information exchanges on social media. Social media users can easily tell stories or comment on many things without limits. However, this often triggers open debates that lead to fights on social media. This is because many social media users use toxic comments that contain elements of racism, radicalism, pornography, or slander to argue and corner individuals or groups. These comments can easily spread and trigger users vulnerable to mental disorders due to unhealthy and unfair debates on social media. Thu

APA, Harvard, Vancouver, ISO, and other styles

7

Imron, Syaiful, Esther Irawati Setiawan, and Joan Santoso. "Deteksi Aspek Review E-Commerce Menggunakan IndoBERT Embedding dan CNN." Journal of Intelligent System and Computation 5, no. 1 (2023): 10–16. http://dx.doi.org/10.52985/insyst.v5i1.267.

Full text

Abstract:

Dengan semakin berkembangnya teknologi informasi, maka muncul istilah e-commerce dalam dunia bisnis. Pada e-commerce ada fitur review, pelanggan dapat memberikan review berupa teks, gambar, dan bintang. Review tersebut merupakan opini dari pelanggan terkait barang yang dibeli. Tetapi pada kebanyakan e-commerce tidak ada fitur kategori terkait review hal ini membuat calon pembeli kesusahan dalam menganalisa secara manual. Aspect-based sentiment analysis (ABSA) merupakan solusi dari permasalahan tersebut. ABSA memiliki tiga tugas salah satunya Aspect Category Detection yang memiliki fungsi untuk

APA, Harvard, Vancouver, ISO, and other styles

8

Bhagaskara S M, Pernanda Arya, Sri Suryani Prasetiyowati, and Yuliant Sibaroni. "Hoax Detection of Indonesian News Media on Twitter Using IndoBERT with Word Embedding Word2Vec." JURNAL MEDIA INFORMATIKA BUDIDARMA 7, no. 3 (2023): 1088. http://dx.doi.org/10.30865/mib.v7i3.6367.

Full text

Abstract:

Hoax is data that is added or deducted from the news that occurred. In the digital age, hoaxes are increasingly being spread, and people are very quickly affected by their spread, especially hoaxes circulating in Indonesian news media on social media. Disseminating information that has not been confirmed as accurate can cause public concern and anxiety. Virtual diversion has transformed into a correspondence key to begin thinking, talking, and moving around cordial issues. In this manner, exploration will be led by consolidating the IndoBERT model with the Word2Vec development highlight in arr

APA, Harvard, Vancouver, ISO, and other styles

9

Ariyatma, Rama Dona, and Bagus Priambodo. "Analysis of Performance Labelling Sentiment Between K-Means Indobert And Inset Lexicon-Based." Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) 10, no. 1 (2025): 58. https://doi.org/10.30645/jurasik.v10i1.849.

Full text

Abstract:

Sentiment analysis, a natural language processing technique, plays a key role in identifying opinions or sentiments from textual data. Accurate sentiment labelling within a dataset significantly impacts the performance of sentiment analysis models. However, manual labelling can be time-consuming. Many researchers utilize lexicon-based methods for sentiment labelling, but lexicons are often limited in reflecting topic-specific nuances, potentially leading to inaccurate sentiment representation. This inaccuracy can negatively affect classification models. Inset Lexicon (Indonesia Sentiment Lexic

APA, Harvard, Vancouver, ISO, and other styles

10

Pranata, Joni, Surya Agustian, Jasril Jasril, and Elin Haerani. "Penggunaan Model Bahasa indoBERT pada metode Random Forest untuk Klasifikasi Sentimen dengan Dataset Terbatas." Building of Informatics, Technology and Science (BITS) 6, no. 3 (2024): 1668–76. https://doi.org/10.47065/bits.v6i3.6335.

Full text

Abstract:

Masalah keterbatasan data latih menjadi tantangan utama dalam klasifikasi sentimen di berbagai bahasa, termasuk bahasa Indonesia, terutama untuk analisis sentimen terkait topik tertentu. Hal ini disebabkan oleh berbagai faktor, dan umumnya adalah kebutuhan untuk mengetahui dengan segera bagaimana sentimen terhadap suatu isu, sehingga tidak mungkin menghabiskan waktu untuk memberi label yang cukup pada data untuk proses pelatihan. Penelitian ini mengusulkan model klasifikasi sentimen dengan sumber data pelatihan yang sedikit, pada studi kasus pengangkatan Kaesang Pangarep sebagai ketua umum PSI

APA, Harvard, Vancouver, ISO, and other styles

More sources

Conference papers on the topic "IndoBERT embedding"

1

Purwaningsih, Tuti, Edi Winarko, and Khabib Mustofa. "INDOBERT embedding for flood detection in Indonesia." In THE 4TH INTERNATIONAL SEMINAR ON SCIENCE AND TECHNOLOGY (ISSTEC) 2023. AIP Publishing, 2025. https://doi.org/10.1063/5.0236876.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Khasanah, Isnaini Nurul, and Adila Alfa Krisnadhi. "Extreme Multilabel Text Classification on Indonesian Tax Court Ruling using Single Channel CNN and IndoBERT Embedding." In 2021 6th International Workshop on Big Data and Information Security (IWBIS). IEEE, 2021. http://dx.doi.org/10.1109/iwbis53353.2021.9631855.

Full text

APA, Harvard, Vancouver, ISO, and other styles

We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!