Kuan-Ting Chen


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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.


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Automatic Segmentation and Labeling for Mandarin Chinese Speech Corpora for Concatenation-based TTS
Cheng-Yuan Lin | Jyh-Shing Roger Jang | Kuan-Ting Chen
International Journal of Computational Linguistics & Chinese Language Processing, Volume 10, Number 2, June 2005: Special Issue on Annotated Speech Corpora


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基於反轉檔查找與最佳片段選取演算法的中文語音合成系統 (A Mandarin Text-to-speech System based on Inverted File Indexing and Unit Selection) [In Chinese]
Cheng Yuan Lin | Ming-Feng Hsieh | Kuan-Ting Chen | Jyh-Shing Jang
Proceedings of the 16th Conference on Computational Linguistics and Speech Processing