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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...
Customer Loyalty Improvement Recommender System (CLIRS)
Title
Customer Loyalty Improvement Recommender System (CLIRS)
Author
Tarnowska, Katarzyna
Date Created
2018
Subjects--Topical
Computer science
Description
This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...