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Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Title
Investigating the causal link between the stock market and Twitter sentiments using causality models and deep learning methods
Author
Seyeditabari, Narjessadat
Date Created
2018
Subjects--Topical
Computer science, Artificial intelligence
Description
An investment theory called the efficient market hypothesis (EMH) claims that it is impossible to outperform the market, and therefore, stocks always trade at a fair value. An important assumption of EMH is that all investors make decisions ration...
Motivators of Adult Women Enrolled in a Community College
Title
Motivators of Adult Women Enrolled in a Community College
Author
Johnston, Connie
Date Created
2010
Subjects--Topical
Women's studies, Community colleges--Study and teaching, Adult education
Description
The goal of this study was to describe what motivates adult women enrolled in a community college to pursue higher education. Utilizing profile analysis and multiple regression analyses, this study investigated the extent to which gender, English ...
USER PARTICIPATION INTENTION AND SOCIAL INFLUENCE IN VIRTUAL COMMUNITIES
Title
USER PARTICIPATION INTENTION AND SOCIAL INFLUENCE IN VIRTUAL COMMUNITIES
Author
Zheng, YiMing
Date Created
2012
Subjects--Topical
Information technology, Social sciences
Description
A virtual community ("VC") is a group of people who interact primarily via IT, rather than face-to-face, for informational, social, professional, educational or other purposes. Given the growing popularity and special features of VCs (user-generat...