Extracting sentiment from text is a hard semantic problem. We develop a methodology for extracting small investor sentiment from stock message boards. The algorithm comprises diļ¬...
To support non-trivial clients, such as data exploration and analysis environments, digital libraries must be able to describe the access modes that their contents support. We pre...
The Web contains a large amount of documents and increasingly, also semantic data in the form of RDF triples. Many of these triples are annotations that are associated with docume...
We present a transformation scheme that mediates between description logics (DL) or RDF-encoded ontologies and type hierarchies in feature logics (FL). The DL-to-FL direction is i...
Internet videos have grown exponentially with the help from video sharing websites. Automatic topic mining is therefore increasingly important for organizing and navigating such l...
Lu Liu, Yong Rui, Lifeng Sun, Bo Yang, Jianwei Zha...