Nowadays, sentiment analysis research is widely applied in a variety of applications such as marketing and politics. Several studies on the Arabic sentiment analysis have been carried out in recent years. These studies mainly focus on Modern Standard Arabic among which few studies have investigated the case of Arab dialects, in this case, Egyptian, Jordanian, and Khaliji. In this paper, we propose a new lexicon-based sentiment analysis approach to address the specific aspects of the vernacular Algerian Arabic fully utilized in social networks. A manually annotated dataset and three Algerian Arabic lexicons have been created to explore the different phases of our approach.

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Query Expansion is an important component for information retrieval systems. It makes possible the reformulation of the initial user query by adding new terms. In this paper, we propose a new approach for term selection in the relevance feedback process. This approach, based on Rocchio formula, is an adaptation to the XML information retrieval context. It can resolve two major problems specific to the XML information retrieval: the overlapping problem in the list of retrieved elements; and the problem of inclusion of irrelevant elements in the selection of new query terms.

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