Jheng-Long Wu

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 30

Top Topics

Natural Language Processing

Sentiment Classification

Top Venues

Appl. Soft Comput.

Publications

Yu-Hsuan Wu, Sheng-Wei Huang, Sung-Ting Chiou, Ying-Chun Lo, Hsin-Yun Hsu, Jheng-Long Wu
Object Detection-driven System for Healthy Eating Recommendations. ICCE-Taiwan (2023)
Jheng-Long Wu, Xian-Rong Tang, Chin-Hsiung Hsu
A prediction model of stock market trading actions using generative adversarial network and piecewise linear representation approaches. Soft Comput. 27 (12) (2023)
Jheng-Long Wu, Mingying Lu, Chia-Yun Wang
Forecasting metro rail transit passenger flow with multiple-attention deep neural networks and surrounding vehicle detection devices. Appl. Intell. 53 (15) (2023)
Sung-Ting Chiou, Sheng-Wei Huang, Ying-Chun Lo, Yu-Hsuan Wu, Jheng-Long Wu
SCU-NLP at ROCLING 2022 Shared Task: Experiment and Error Analysis of Biomedical Entity Detection Model. ROCLING (2022)
Fang-Ju Lee, Ying-Chun Lo, Jheng-Long Wu
Combining Word Vector Technique and Clustering Algorithm for Credit Card Merchant Detection. ROCLING (2022)
Jheng-Long Wu, Wei-Yi Chung
Sentiment-based masked language modeling for improving sentence-level valence-arousal prediction. Appl. Intell. 52 (14) (2022)
Sheng-Wei Huang, Wei-Yi Chung, Yu-Hsuan Wu, Chen-Chia Yu, Jheng-Long Wu
A Dimensional Valence-Arousal-Irony Dataset for Chinese Sentence and Context. ROCLING (2022)
Yu-Hsuan Wu, Sheng-Wei Huang, Wei-Yi Chung, Chen-Chia Yu, Jheng-Long Wu
Factor Detection Task of Cyberbullying Using the Deep Learning Model. Big Data (2022)
Hsiao-Shih Chen, Pin-Chiung Chen, Shao-Cheng Huang, Yu-Cheng Chiu, Jheng-Long Wu
SCUDS at ROCLING-2021 Shared Task: Using Pretrained Model for Dimensional Sentiment Analysis Based on Sample Expansion Method. ROCLING (2021)
Jheng-Long Wu, Min-Tzu Huang, Chi-Sheng Yang, Kai-Hsuan Liu
Sentiment analysis of stock markets using a novel dimensional valence-arousal approach. Soft Comput. 25 (6) (2021)
Ching-Wen Hsu, Chun-Lin Chou, Hsuan Liu, Jheng-Long Wu
A Corpus for Dimensional Sentiment Classification on YouTube Streaming Service. ROCLING (2021)
Hsuan-Tzu Shih, Yu-Cheng Chiu, Hsiao-Shih Chen, Jheng-Long Wu
Confiscation Detection of Criminal Judgment Using Text Classification Approach. ROCLING (2021)
I-Ju Lin, Jheng-Long Wu
Building A Multi-Label Detection Model for Question classification of Auction Website. ROCLING (2020)
Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, W. C. Wang
Intelligent compilation of patent summaries using machine learning and natural language processing techniques. Adv. Eng. Informatics 43 (2020)
Bingchun Liu, Mingzhao Lai, Jheng-Long Wu, Chuanchuan Fu, Arihant Binaykia
Patent analysis and classification prediction of biomedicine industry: SOM-KPCA-SVM model. Multim. Tools Appl. 79 (15-16) (2020)
Jheng-Long Wu, Yuanye He, Liang-Chih Yu, K. Robert Lai
Identifying Emotion Labels From Psychiatric Social Texts Using a Bi-Directional LSTM-CNN Model. IEEE Access 8 (2020)
Amy J. C. Trappey, Charles V. Trappey, Jheng-Long Wu, Kevin T.-C. Tsai
Using Machine Learning Approach to Identify Synonyms for Document Mining. TE (2019)
Pei-Chann Chang, Jheng-Long Wu, Yahui Xu, Min Zhang, Xiao-Yong Lu
Bike sharing demand prediction using artificial immune system and artificial neural network. Soft Comput. 23 (2) (2019)
Jheng-Long Wu, Chi-Sheng Yang, Kai-Hsuan Liu, Min-Tzu Huang
A Deep Learning Model for Dimensional ValenceArousal Intensity Prediction in Stock Market. iCAST (2019)
Jheng-Long Wu
Patent Quality Classification System Using the Feature Extractor of Deep Recurrent Neural Network. BigComp (2019)
Mu-Hui Yu, Jheng-Long Wu
CEAM: A Novel Approach Using Cycle Embeddings with Attention Mechanism for Stock Price Prediction. BigComp (2019)
Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, ShaoZhen Ye, K. Robert Lai
Using an analogical reasoning framework to infer language patterns for negative life events. BMC Medical Informatics Decis. Mak. 19 (1) (2019)
Xiaosong Zhao, Rui Zhang, Jheng-Long Wu, Pei-Chann Chang
A Deep Recurrent Neural Network for Air Quality Classification. J. Inf. Hiding Multim. Signal Process. 9 (2) (2018)
Xiao-Yong Lu, Mu-Sheng Chen, Jheng-Long Wu, Pei-Chann Chang, Meng-Hui Chen
A novel ensemble decision tree based on under-sampling and clonal selection for web spam detection. Pattern Anal. Appl. 21 (3) (2018)
Amy J. C. Trappey, Charles V. Trappey, Jack W. C. Wang, Jheng-Long Wu
An Intelligent Patent Summary System Deploying Natural Language Processing and Machining Learning. TE (2018)
Jheng-Long Wu, Wei-Yun Ma
A Deep Learning Framework for Coreference Resolution Based on Convolutional Neural Network. ICSC (2017)
Meng-Hui Chen, Pei-Chann Chang, Jheng-Long Wu
A population-based incremental learning approach with artificial immune system for network intrusion detection. Eng. Appl. Artif. Intell. 51 (2016)
Pei-Chann Chang, Jheng-Long Wu, Jyun-Jie Lin
A Takagi-Sugeno fuzzy model combined with a support vector regression for stock trading forecasting. Appl. Soft Comput. 38 (2016)
Pei-Chann Chang, Jheng-Long Wu, Cheng-Chin Tsao, Chin-Yuan Fan
A Hybrid Model Combining SOMs with SVRs for Patent Quality Analysis and Classification. DMBD (2016)
Jheng-Long Wu, Pei-Chann Chang, Cheng-Chin Tsao, Chin-Yuan Fan
A patent quality analysis and classification system using self-organizing maps with support vector machine. Appl. Soft Comput. 41 (2016)
Jheng-Long Wu, Pei-Chann Chang
A Prediction System for Bike Sharing Using Artificial Immune System with Regression Trees. IIAI-AAI (2015)
Pei-Chann Chang, Jheng-Long Wu
A critical feature extraction by kernel PCA in stock trading model. Soft Comput. 19 (5) (2015)
Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang
An intelligent stock trading system using comprehensive features. Appl. Soft Comput. 23 (2014)
Pei-Chann Chang, Jheng-Long Wu
The weighted Support Vector Machines for the stock turning point prediction. ISDA (2014)
Di-di Wang, Pei-Chann Chang, Li Zhang, Jheng-Long Wu, Changle Zhou
The stability analysis for a novel feedback neural network with partial connection. Neurocomputing 116 (2013)
Liang-Chih Yu, Jheng-Long Wu, Pei-Chann Chang, Hsuan-Shou Chu
Using a contextual entropy model to expand emotion words and their intensity for the sentiment classification of stock market news. Knowl. Based Syst. 41 (2013)
Jheng-Long Wu, Liang-Chih Yu, Pei-Chann Chang
Detecting causality from online psychiatric texts using inter-sentential language patterns. BMC Medical Informatics Decis. Mak. 12 (2012)
Di-di Wang, Pei-Chann Chang, Jheng-Long Wu, Changle Zhou
A Partially Connected Neural Evolutionary Network for Stock Price Index Forecasting. ICIC (3) (2011)
Jheng-Long Wu, Chao-Fu Hong, Chien-Jen Huang
Social Chance Discovery. SMC (2009)
Chao-Fu Hong, Leuo-hong Wang, Jheng-Long Wu
The framework of competitive advantage based chance discovery. SMC (2008)