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題名 Using Sentiment Analysis to Explore the Association between News and Housing Prices
作者 諶家蘭
Yang, Hsiao-Fang;Seng, Jia-Lang
貢獻者 會計系
關鍵詞 Sentiment analysis; Opinion mining; Housing price; News sentiment scoring model
日期 2017
上傳時間 12-Jul-2017 14:13:21 (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.
關聯 Lecture Notes in Artificial Intelligence (LNAI) (EI), 170-179
資料類型 article
DOI http://dx.doi.org/10.1007/978-3-319-54430-4_17
dc.contributor 會計系
dc.creator (作者) 諶家蘭zh-tw
dc.creator (作者) Yang, Hsiao-Fang;Seng, Jia-Langen-US
dc.date (日期) 2017
dc.date.accessioned 12-Jul-2017 14:13:21 (UTC+8)-
dc.date.available 12-Jul-2017 14:13:21 (UTC+8)-
dc.date.issued (上傳時間) 12-Jul-2017 14:13:21 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/111000-
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.
dc.format.extent 126 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Lecture Notes in Artificial Intelligence (LNAI) (EI), 170-179
dc.subject (關鍵詞) Sentiment analysis; Opinion mining; Housing price; News sentiment scoring model
dc.title (題名) Using Sentiment Analysis to Explore the Association between News and Housing Prices
dc.type (資料類型) article
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