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    政大機構典藏 > 理學院 > 資訊科學系 > 會議論文 >  Item 140.119/98232
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/98232

    Title: Financial Sentiment Analysis for Risk Prediction
    Authors: Wang, Chuan-Ju;Tsai, Ming-Feng;Liu, Tse;Chang, Chin-Ting
    Contributors: 資科系
    Date: 2013-10
    Issue Date: 2016-06-22 17:10:38 (UTC+8)
    Abstract: This paper attempts to identify the importance of sentiment words in financial reports on financial risk. By using a financespecific sentiment lexicon, we apply regression and ranking techniques to analyze the relations between sentiment words and financial risk. The experimental results show that, based on the bag-of-words model, models trained on sentiment words only result in comparable performance to those on origin texts, which confirms the importance of financial sentiment words on risk prediction. Furthermore, the learned models suggest strong correlations between financial sentiment words and risk of companies. As a result, these findings are of great value for providing us more insight and understanding into the impact of financial sentiment words in financial reports.
    Relation: Proceedings of the 6th International Joint Conference on Natural Language Processing (IJCNLP '13), 802-808, 2013
    Data Type: conference
    Appears in Collections:[資訊科學系] 會議論文

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