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    政大機構典藏 > 商學院 > 會計學系 > 期刊論文 >  Item 140.119/111000
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111000

    Title: Using Sentiment Analysis to Explore the Association between News and Housing Prices
    Authors: 諶家蘭
    Yang, Hsiao-Fang;Seng, Jia-Lang
    Contributors: 會計系
    Keywords: Sentiment analysis;Opinion mining;Housing price;News sentiment scoring model
    Date: 2017
    Issue Date: 2017-07-12 14:13:21 (UTC+8)
    Abstract: In recent years, semi-structured and unstructured data have received substantial attention. Previous studies on sentiment analysis and opinion mining have indicated that media information features sentiment factors that can affect investor decisions. However, few studies have explored the correlation between news sentiment and housing prices; hence, the present study was conducted to investigate this correlation. A method was proposed to collect and filter news information and analyze the correlation between news sentiment and housing prices. The results indicate that news sentiment can serve as a reference for evaluating housing price trends.
    Relation: Lecture Notes in Artificial Intelligence (LNAI) (EI), 170-179
    Data Type: article
    DOI 連結: http://dx.doi.org/10.1007/978-3-319-54430-4_17
    DOI: 10.1007/978-3-319-54430-4_17
    Appears in Collections:[會計學系] 期刊論文

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