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    题名: Using sentiment analysis to explore the association between news and housing prices
    作者: Yang, Hsiao-Fang;Seng, Jia-Lang
    諶家蘭
    贡献者: 會計系
    关键词: Costs;Data mining;Database systems;Filtration;Housing prices;Information feature;News information;Opinion mining;Scoring models;Semi-structured;Sentiment analysis;Unstructured data;Housing
    日期: 2017-04
    上传时间: 2017-08-03 14:27:58 (UTC+8)
    摘要: 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.
    關聯: 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
    数据类型: 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
    显示于类别:[會計學系] 會議論文

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