Opinion classification Through information extraction

In this paper we present an application of information extraction technologies to data mining. The system has the goal of producing reliable reports on opinions that customers express about companies and/or products. Information extraction is regarded as an enabling technology by which structured databases can be populated from unstructured texts available on the web. The approach can be considered as an alternative to standard text mining techniques: rather than applying data mining algorithms on textual inputs, we propose to apply syntactic and semantic processing in order to disclose structured information which abstracts completely from linear order of words and language dependent constructions.