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Full-Text Articles in Business
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Textual Analysis And Machine Leaning: Crack Unstructured Data In Finance And Accounting, Li Guo, Feng Shi, Jun Tu
Research Collection Lee Kong Chian School Of Business
In finance and accounting, relative to quantitative methods traditionally used, textual analysis becomes popular recently despite of its substantially less precise manner. In an overview of the literature, we describe various methods used in textual analysis, especially machine learning. By comparing their classification performance, we find that neural network outperforms many other machine learning techniques in classifying news category. Moreover, we highlight that there are many challenges left for future development of textual analysis, such as identifying multiple objects within one single document.
The Decision-Making Processes Of Nontraditional Or For Sale By Owner (Fsbo) Home Sellers Engaged In The Listing And Sale Of Their Homes, Valentin Demarco Jr.
The Decision-Making Processes Of Nontraditional Or For Sale By Owner (Fsbo) Home Sellers Engaged In The Listing And Sale Of Their Homes, Valentin Demarco Jr.
Legacy Theses & Dissertations (2009 - 2024)
In spite of promises that the Internet would allow people to buy and sell their homes without intermediaries, real-estate agents still control approximately 90% of the transactions made in the 2.5-trillion-dollar residential real-estate industry. Existing literature has yet to provide conclusive arguments as to why the expected disintermediation has not occurred. Tentative arguments include claims that policy is biased in favor of agents, or that agents have a broader social network than their customers which helps them sell faster and for a better price. Most studies make the assumption that agents matter. They analyze the real-estate market from the perspective …
Table Of Contents
Journal of International Technology and Information Management
Table of Contents for Volume 25 Number 4