Explicit TenseClassifier

Traditional search engines, that extracts facts from text often focus on static facts but ignore the temporal dimension. Although large number of facts are keep changing with time or their relevance fades with time. Therefore we should see information needs of users with respect to temporal dimension as well. This paper focus on classification of queries on their temporal profile. We will first try to identify that, a particular query seeking result in temporal dimension or not. Second, we will develop a framework that will classify the query into three classes on the basis of temporal intent of that query, this will be based on the underlying search engine result, which be a typical traditional search engine. Third, we show what improvement we can make in data visualization of search result on the basis of these classes.