Graduation Project: Topic Rivers & Community Detection
Amsterdam, NL - ZyLAB wishes to develop a new approach to create data visualization for eDiscovery, Answering Regulatory Requests, and Criminal and Fraud investigations, that:
- Constructs an interactively operable, dynamic, effective visualization environment, and
- Applies means of text-mining, natural language processing and machine learning to enrich and organize textual data thereby increasing data value.
- Automatically detect anomalies in such data sets to notify users of such anomalies in both textual data as well as in large data visualizations.
In order to address this problem, we combine principles of effective visualization and navigation with known principles of criminal investigation to create intuitively operable software for this domain.
The objective is to use new methods, such as advanced machine learning methods (deep learning, better feature factories, better document representation methods, etc.) to create a better performing system.
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