Nesma Refaei

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A significant portion of search engine queries mention business entities such as restaurants, cinemas, banks, and other places of interest. These queries are commonly known as “local search” queries, because they represent an information need about a place, often a place local to the user. A portion of these queries is not well served by the search engine(More)
In this paper we undertake a large crossdomain investigation of sentiment domain adaptation, challenging the practical necessity of sentiment domain adaptation algorithms. We first show that across a wide set of domains, a simple “all-in-one” classifier that utilizes all available training data from all but the target domain tends to outperform published(More)
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