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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(More)
In this paper we undertake a large cross-domain 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(More)
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