Case Study Team
|Id||Name||Institution (type*)||Contact e-mail||Related WG||Role in the team|
|1||Juan C. Burguillo-Rial||Universidade de Vigo (A)||J.C.Burguillo@uvigo.es||WG4||Coordinator|
|2||Joana Matos Dias||Universidade de Coimbra (A)||firstname.lastname@example.org||WG4||Vice-Coordinator|
|3||Mariam Kiran||ESNet (I)||email@example.com||WG4||Team member|
|4||José Covelo García||Luckia Gaming Group (I)||firstname.lastname@example.org||WG4||Team member|
|5||Aleš Zamuda||University of Maribor (A)||email@example.com||Team member|
Decisions made by investors can be influenced by the beliefs the investors create when analysing the current situation. These beliefs can be strongly determined by news directly related with specific areas (stock market, forex market, industry specific and so on), but also with news targeting public in general.
News mining, as a tool for improving financial decision making, is an interesting path of research, and can be interpreted in different contexts and different levels. It should consider state-of-the-art text mining and sentiment analysis algorithmic solutions, used for financial prediction and decision making.
Proposed Solution(-s) (Models, Tools)
Develop and use of text mining and sentiment analysis tools for financial decision making.
Practical Scenarios (-s)
Internet Brokerage Companies operating over stock markets, Forex, etc.
Internet media, social networks, blogosphere, etc.