CAN MACHINE LEARNING ALGORITHMS ASSOCIATED WITH TEXT MINING FROM INTERNET DATA IMPROVE HOUSING PRICE PREDICTION PERFORMANCE?

Autor: Shu-hen Chiang, Jian-qiang Guo, Min Liu, Kai-yi Guo, Chi-Chun Yang

Publikováno v: International Journal of Strategic Property Management; Vol 24 No 5 (2020); 300-312
International Journal of Strategic Property Management, Vol 24, Iss 5, Pp 300-312 (2020)
International Journal of Strategic Property Management; Articles in Press; 1-13

Housing frenzies in China have attracted widespread global attention over the past few years, but the key is how to more accurately forecast housing prices in order to establish an effective real estate policy. Based on the ubiquitousness and immedia

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::722c20b471149eb2da6b9e06b0fec06e
https://doi.org/10.3846/ijspm.2020.12742