Jenq-Haur Wang


2021

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Aggregating User-Centric and Post-Centric Sentiments from Social Media for Topical Stance Prediction
Jenq-Haur Wang | Kuan-Ting Chen
Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021)

Conventional opinion polls were usually conducted via questionnaires or phone interviews, which are time-consuming and error-prone. With the advances in social networking platforms, it’s easier for the general public to express their opinions on popular topics. Given the huge amount of user opinions, it would be useful if we can automatically collect and aggregate the overall topical stance for a specific topic. In this paper, we propose to predict topical stances from social media by concept expansion, sentiment classification, and stance aggregation based on word embeddings. For concept expansion of a given topic, related posts are collected from social media and clustered by word embeddings. Then, major keywords are extracted by word segmentation and named entity recognition methods. For sentiment classification and aggregation, machine learning methods are used to train sentiment lexicon with word embeddings. Then, the sentiment scores from user-centric and post-centric views are aggregated as the total stance on the topic. In the experiments, we evaluated the performance of our proposed approach using social media data from online forums. The experimental results for 2016 Taiwan Presidential Election showed that our proposed method can effectively expand keywords and aggregate topical stances from the public for accurate prediction of election results. The best performance is 0.52% in terms of mean absolute error (MAE). Further investigation is needed to evaluate the performance of the proposed method in larger scales.

2020

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應用多模式特徵融合的深度注意力網路進行謠言檢測 (Rumor Detection Using Deep Attention Networks With Multimodal Feature Fusion)
Jenq-Haur Wang | Chin-Wei Huang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 25, Number 1, June 2020

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Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)
Jenq-Haur Wang | Ying-Hui Lai
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)

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Combining Dependency Parser and GNN models for Text Classification
Kuan-Hsun Chou | Yen-Tsang Wu | Jenq-Haur Wang
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)

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Combining Hybrid Attention Networks and LSTM for Stock Trend Prediction
Hsin-Wen Liu | Jenq-Haur Wang
Proceedings of the 32nd Conference on Computational Linguistics and Speech Processing (ROCLING 2020)

2019

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International Journal of Computational Linguistics & Chinese Language Processing, Volume 24, Number 2, December 2019
Ying-Hui Lai | Jenq-Haur Wang
International Journal of Computational Linguistics & Chinese Language Processing, Volume 24, Number 2, December 2019

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結合類神經網路及文件概念圖之文件檢索研究(Document Retrieval based on Neural Network and Document Concept Graph)
Chia-Hsin Lu | Jenq-Haur Wang
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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基於BERT模型之多國語言機器閱讀理解研究(Multilingual Machine Reading Comprehension based on BERT Model)
Cheng-Xuan Wu | Jenq-Haur Wang
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

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結合LDASVM之社群使用者立場檢測(Stance Detection of Social Network Users by combining Latent Dirichlet Allocation and Support Vector Machine)
I-Huan Weng | Jenq-Haur Wang
Proceedings of the 31st Conference on Computational Linguistics and Speech Processing (ROCLING 2019)

2018

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An LSTM Approach to Short Text Sentiment Classification with Word Embeddings
Jenq-Haur Wang | Ting-Wei Liu | Xiong Luo | Long Wang
Proceedings of the 30th Conference on Computational Linguistics and Speech Processing (ROCLING 2018)

2013

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基於意見詞修飾關係之微網誌情感分析技術 (Microblog Sentiment Analysis based on Opinion Target Modifying Relations) [In Chinese]
Jenq-Haur Wang | Ting-Wei Ye
Proceedings of the 25th Conference on Computational Linguistics and Speech Processing (ROCLING 2013)