摘要
近數十年來，有大量的研究顯示台灣房價不斷的高漲，這對於台灣民眾購屋的負擔已造成嚴峻的考驗。有鑑於此，為了解決台灣民眾居住的問題，政府相繼投入了相當多的資源，甚至是訂立法條來維護民眾的居住正義，其中的一個例子是，中華民國內政部於民國106年4月擬定了「住宅租賃市場發展條例草案」，務求能夠透過此條例活化房屋租賃市場，屆時房屋租賃產業將因此法條而得到有利的推動。 然而在房屋租賃市場相關的研究上，目前多數的研究多為問卷調查或電話訪談，鮮少有非介入性的研究，在此背景下，本研究透過文字探勘技術從消費者所發的大量房屋租賃相關文章中，找出在房屋租賃產業裡消費者所面對的議題，以降低研究過程中人為因素的干擾，以期房屋租賃公司未來在策略的擬定上能有多一個借鑒。 本研究根據Blei等學者（Blei, Ng & Jordan, 2003）所提出的Latent Dirichlet Allocation主題模型為主要的研究工具，並從3794個文本中找出了300個主題。經過本研究進行命題後，得217個有意義的主題，其中重複率佔前10的議題為契約（11.47%）、押金（4.59%）、價格（3.21%）、水電費（3.21%）、房屋格局（3.21%）、租屋糾紛（3.21%）、吵鬧（2.75%）、合租（2.29%）、溝通（2.29%）、房東態度（2.29%）。
並列摘要
In the past few decades, a large number of studies demonstrated Taiwan commercial houses price level tends to rise rapidly. Therefore, in order to solve this issue, government of R.O.C. put a lot of resource in related policy, and even legislate new law to protect the right of residential. In April, 2017, R.O.C. Executive Yuan proposed the draft of「Residential leasing market development regulations」to Legislate Yuan, this means once the act registered, housing rental market will be motivated at once. However, as of today, most of the research related to this field were composed with quantitative research, those research were constructed with structured questionnaire, but seldom to seek information with non-interventional. Therefore, this research aim on the articles posted by housing rental consumer, and applied Text Mining technique to those articles to figure out which problem consumer facing. Through this technique, it was able to decrease the intervention of data collecting. The foundation of this research was structured by Latent Dirichlet Allocation, which published by Blei et al. (Blei, Ng & Jordan, 2003). The results analysis with 3794 articles with 300 topics deducted meaningless topics obtained 217 topics show that, top 10 repeated topic are show by the following, contract (11.47%), deposit (4.59%), pricing (3.21%), utilities expense (3.21%), housing pattern (3.21%), rental dispute (3.21%), hubbub (2.75%), co-renting (2.29%), communication (2.29%), landlord manner (2.29%)