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Measuring praise and criticism: Inference of semantic orientation from association
Peter D. Turney, Michael L. Littman
The evaluative character of a word is called its semantic orientation. Positive semantic orientation indicates praise (e.g., "honest", "intrepid") and negative semantic orientation indicates criticism (e.g., "disturbing", "superfluous")....
MEGA---the maximizing expected generalization algorithm for learning complex query concepts
Edward Chang, Beitao Li
Specifying exact query concepts has become increasingly challenging to end-users. This is because many query concepts (e.g., those for looking up a multimedia object) can be hard to articulate, and articulation can be subjective. In this study, we...
Coverage, relevance, and ranking: The impact of query operators on Web search engine results
Caroline M. Eastman, Bernard J. Jansen
Research has reported that about 10% of Web searchers utilize advanced query operators, with the other 90% using extremely simple queries. It is often assumed that the use of query operators, such as Boolean operators and phrase...
Comparing the performance of collection selection algorithms
Allison L. Powell, James C. French
The proliferation of online information resources increases the importance of effective and efficient information retrieval in a multicollection environment. Multicollection searching is cast in three parts: collection selection (also referred to as...
A semisupervised learning method to merge search engine results
Luo Si, Jamie Callan
The proliferation of searchable text databases on local area networks and the Internet causes the problem of finding information that may be distributed among many disjoint text databases (distributed information retrieval). How to merge the...