Art der Arbeit:
Master- / Diplomarbeit
ca. € 1500,-- pauschal
The project shall be done in tight collaboration with an startup company from Linz focusing on financial trend analysis (PS Quant), as well as scientific collaborator in the area of machine learning from the FH St.Pölten as well as a master thesis supervisor from TU Wien (Computer Graphics Research Division).
In the financial domain, trend analysts have to read many finance reports to be able to foresee financial developments. However, to be able to make well-informed decisions, analysts have to consume a lot of textual information, which is time-consuming and error-prone.
To ease this process, this project should provide a compact visual summary of the temporal development of these reports with respect to automatically extracted, as well as manually defined topics. In addition, trend analysts should have the possibility to train the system whether the information contained in the reports is considered to be positive or negative. In the end, the system should visually summarize the latest subscribed RSS feeds for the trend analyst, so that she can efficiently decide which kind of information is contained, whether this information is positive or negative for the market, and how this topics and their implications for the market developed over time.
In case of a successful completion of the project, there will be a monetary reward.