By Gregory Alegi
The learn of images means that such a lot Italian infants remained unpainted, their color scheme along with the typical color of the protecting fabric - cloth at the airframe and plywood for the floats.
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For example could be obstacles for some users not familiar with. This paper is organized as follows: Section 2, presents a brief overview of the most significant related works. Section 3, introduces the Virtual-Q system. Section 4, presents the preliminary prototype. Finally section 5 concludes the paper and presents the future steps. 2 Related Works The related works are grouped into three parts: (I) Frameworks and systems, (II) the heterogeneous data sources integration and (III) sub-queries reformulation.
Preliminary results have shown that the combination of lexical, morpho-syntactic and semantic features achieves relatively good performance in classifying French movie reviews according to their sentiment polarity (positive, negative). Several problems having an effect upon the results of the classification were highlighted and potential solutions were discussed. In order to extract the semantic orientation of words from SentiWordNet, we went through a standard word-translation process. Although translation does not necessary preserve the semantic orientation of words due to the variation of language common usage especially when it comes to spontaneous reviews on the web, and in spite of all its side effects, it has been argued that dictionary-based approach could contribute to achieve better results.
Indeed, our virtual query engine architecture attempts to offer a transparent access for users to retrieve data from heterogeneous data sources. The “data source semantic categorization” allows improving the Virtual-Q information retrieval by assigning importance levels to data sources according to their degree of “semantisation”. A preliminary prototype, presented at the end, validates the proposed architecture. As next step, we plan, to improve the modules developed so far. Indeed, the query analysis and the sub-queries reformulation require additional work to be effective.
Ansaldo Baby by Gregory Alegi