Methods and applications are inextricably linked in science, and in particular in the domain of text-as-data. In this paper, we examine one such text-as-data application, an established economic index that measures economic policy uncertainty from keyword occurrences in news. This index, which is shown to correlate with firm investment, employment,…
To appear at TAIA2013 (a SIGIR 2013 workshop). Document filtering over time is widely applied in various tasks such as tracking topics in online news or social media. We consider it a classification task, where topics of interest correspond to classes, and the feature space consists of the words associated…
This paper describes our (winning!) submission to the Developers Challenge at WoLE2013, “Doing Good by Linking Entities.” We present a fully automatic system – called “Semantic TED” – which provides intelligent suggestions in the form of links to Wikipedia articles for video streams in multiple languages, based on the subtitles…
We present a RESTful interface that captures insights into the zeitgeist of Wikipedia users. In recent years many so-called zeitgeist applications have been launched. Such applications are used to gain insights into the current gist of society and actual affairs. Several news sources run zeitgeist applications for popular and trending news.…
Microblogs have become an invaluable source of information for the purpose of online reputation management. An emerging problem in the field of online reputation management consists of identifying the key aspects of an entity commented in microblog posts. Streams of microblogs are of great value because of their direct and…
We have come to depend on technological resources to create order and find meaning in the ever-growing amount of online data. One frequently recurring type of query in web search are queries containing named entities (persons, organizations, locations, etc.): we organize our environments around entities that are meaningful to us.…
Semantic search is by its broadest definition a collection of approaches that aim at matching the Web’s content with the information need of Web users at a semantic level. Most of the work in this area has focused on the supply-side of semantic search, in particular elevating Web content to…
We investigate if and how open source retrieval engines can be deployed in a grid environment. When comparing grids to conventional distributed IR, the lack of a-priori knowledge about available nodes is one of the most significant differences. On top of that, it is also unknown when a particular node…