Transformer-gated recurrent unit method for predicting stock price based on news sentiments and technical indicators

AT Haryono, R Sarno, KR Sungkono - IEEE Access, 2023 - ieeexplore.ieee.org
News sentiment can influence stock prices indirectly, in addition to the technical indicators
already used to analyze stock prices. The information quantification of news sentiment by …

Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text

MMA Busst, KSM Anbananthen, S Kannan… - IEEE …, 2024 - ieeexplore.ieee.org
Aspect extraction poses a significant challenge in Natural Language Processing (NLP).
Extracting explicit and implicit aspects from online text data remains an ongoing challenge …

[PDF][PDF] Stock price forecasting in Indonesia stock exchange using deep learning: A comparative study

AT Haryono, R Sarno, KR Sungkono - International Journal of …, 2024 - academia.edu
In 2022, the Indonesia stock exchange (IDX) listed 825 companies, making it challenging to
identify low-risk companies. Stock price forecasting and price movement prediction are vital …

Aspect-Based Sentiment Analysis for Financial Review with Implicit Aspect and Opinion Using Semantic Similarity and Hybrid Approach.

B Harjo, R Abdullah - International Journal of Intelligent …, 2024 - search.ebscohost.com
Abstract Aspect-Based Sentiment Analysis (ABSA) for financial review still has some errors
which impact the low accuracy of ABSA performance. One of the errors happens because …

Detection and Sentiment Analysis Based on Mental Disorders Aspects Using Bidirectional Gated Recurrent Unit and Semantic Similarity.

AN Sutranggono, R Sarno - International Journal of …, 2024 - search.ebscohost.com
Mental disorders significantly impact daily life and are among the leading causes of suicide.
Despite numerous studies on detecting mental disorders on social media, the focus has …

Recognition of Real-Time Angklung Kodály Hand Gesture using Mediapipe and Machine Learning Method

MZ Fauzi, R Sarno - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The application of machine learning in the arts and culture can help preserve these arts and
culture and, in some cases even facilitate access to the arts to the public. In this study, a …

Permuted Temporal Kolmogorov-Arnold Networks for Stock Price Forecasting using Generative Aspect Based Sentiment Analysis

AT Haryono, R Sarno, RNE Anggraini… - IEEE …, 2024 - ieeexplore.ieee.org
Stock prices are experiencing fluctuation daily. While stock price predictions typically rely on
historical transaction data, other factors, such as news sentiment, also play an indirect role in …

A robustly optimized BERT using random oversampling for analyzing imbalanced stock news sentiment data

SMP Tyas, R Sarno, AT Haryono… - … on Computer Science …, 2023 - ieeexplore.ieee.org
Stock news is one of the information sources that can used to monitor stock prices. The
information from stock news usually contains positive and negative sentiments that can …

Improving cyberbullying detection through multi-level machine learning.

R Sarno, I Ghozali… - International Journal of …, 2024 - search.ebscohost.com
Cyberbullying is a known risk factor for mental health issues, demanding immediate
attention. This study aims to detect cyberbullying on social media in alignment with the third …

Price Forecasting of West Java Rice using Multivariate Decomposition SARIMAX-Gated Recurrent Unit Combination.

IN Gde Artadana Mahaputra … - … Journal of Intelligent …, 2025 - search.ebscohost.com
In countries like Indonesia, rice prices significantly influence economic and social dynamics.
The prices are subject to fluctuations driven by seasonal changes, market demand, and …