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題名 Using sentiment analysis to explore the association between news and housing prices
作者 Yang, Hsiao-Fang;Seng, Jia-Lang
諶家蘭
貢獻者 會計系
關鍵詞 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
上傳時間 3-Aug-2017 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
資料類型 conference
DOI http://dx.doi.org/10.1007/978-3-319-54430-4_17
dc.contributor 會計系zh_Tw
dc.creator (作者) Yang, Hsiao-Fang;Seng, Jia-Langen_US
dc.creator (作者) 諶家蘭zh_TW
dc.date (日期) 2017-04en_US
dc.date.accessioned 3-Aug-2017 14:27:58 (UTC+8)-
dc.date.available 3-Aug-2017 14:27:58 (UTC+8)-
dc.date.issued (上傳時間) 3-Aug-2017 14:27:58 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111640-
dc.description.abstract (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.en_US
dc.format.extent 212 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10192 LNAI, 170-179en_US
dc.relation (關聯) 9th Asian Conference on Intelligent Information and Database Systems, ACIIDS 2017; Kanazawa; Japan; 3 April 2017 到 5 April 2017; 代碼 190369en_US
dc.subject (關鍵詞) Costs; Data mining; Database systems; Filtration; Housing prices; Information feature; News information; Opinion mining; Scoring models; Semi-structured; Sentiment analysis; Unstructured data; Housingen_US
dc.title (題名) Using sentiment analysis to explore the association between news and housing pricesen_US
dc.type (資料類型) conference
dc.identifier.doi (DOI) 10.1007/978-3-319-54430-4_17
dc.doi.uri (DOI) http://dx.doi.org/10.1007/978-3-319-54430-4_17