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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/143479


    Title: Hidden advertorial detection on social media in Chinese
    Authors: 張瑜芸
    Chang, Yu-Yun
    Ho, Meng-Ching;Chuang, Ching-Yun;Hsu, Yi-Chun
    Contributors: 語言所
    Date: 2021-10
    Issue Date: 2023-02-17 15:08:24 (UTC+8)
    Abstract: Nowadays, there are a lot of advertisements hiding as normal posts or experience sharing in social media. There is little research of advertorial detection on Mandarin Chinese texts. This paper thus aimed to focus on hidden advertorial detection of online posts in Taiwan Mandarin Chinese. We inspected seven contextual features based on linguistic theories in discourse level. These features can be further grouped into three schemas under the general advertorial writing structure. We further implemented these features to train a multi-task BERT model to detect advertorials. The results suggested that specific linguistic features would help extract advertorials.
    Relation: Proceedings of the 33rd Conference on Computational Linguistics and Speech Processing (ROCLING 2021), Association for Computational Linguistics and Chinese Language Processing (ACLCLP), pp.243-251
    Data Type: conference
    Appears in Collections:[Graduate Institute of Linguistics] Proceedings

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