Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/111000| DC Field | Value | Language |
|---|---|---|
| dc.contributor | 會計系 | |
| dc.creator | 諶家蘭 | zh-tw |
| dc.creator | Yang, Hsiao-Fang;Seng, Jia-Lang | en-US |
| dc.date | 2017 | |
| dc.date.accessioned | 2017-07-12T06:13:21Z | - |
| dc.date.available | 2017-07-12T06:13:21Z | - |
| dc.date.issued | 2017-07-12T06:13:21Z | - |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/111000 | - |
| dc.description.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. | |
| dc.format.extent | 126 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation | Lecture Notes in Artificial Intelligence (LNAI) (EI), 170-179 | |
| dc.subject | Sentiment analysis; Opinion mining; Housing price; News sentiment scoring model | |
| dc.title | Using Sentiment Analysis to Explore the Association between News and Housing Prices | |
| dc.type | article | |
| dc.identifier.doi | 10.1007/978-3-319-54430-4_17 | |
| dc.doi.uri | http://dx.doi.org/10.1007/978-3-319-54430-4_17 | |
| item.cerifentitytype | Publications | - |
| item.grantfulltext | restricted | - |
| item.fulltext | With Fulltext | - |
| item.openairetype | article | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
| Appears in Collections: | 期刊論文 | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| index.html | 126 B | HTML2 | View/Open |
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