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    政大機構典藏 > 商學院 > 會計學系 > 會議論文 >  Item 140.119/111640
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/111640

    Title: Using sentiment analysis to explore the association between news and housing prices
    Authors: Yang, Hsiao-Fang;Seng, Jia-Lang
    Contributors: 會計系
    Keywords: Costs;Data mining;Database systems;Filtration;Housing prices;Information feature;News information;Opinion mining;Scoring models;Semi-structured;Sentiment analysis;Unstructured data;Housing
    Date: 2017-04
    Issue Date: 2017-08-03 14:27:58 (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. © Springer International Publishing AG 2017.
    Relation: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10192 LNAI, 170-179
    9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017; Kanazawa; Japan; 3 April 2017 到 5 April 2017; 代碼 190369
    Data Type: conference
    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] 會議論文

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