On performance of topical opinion retrieval
Giambattista Amati, Giuseppe Federico Amodeo, Valerio Capozio, Carlo Gaibisso, Giorgio Gambosi · 2010
We investigate the effectiveness of both the standard evaluation measures and the opinion component for topical opinion retrieval. We analyze how relevance is affected by opinions by perturbing relevance ranking by the outcomes of opinion-only classifiers built by Monte Carlo sampling. Topical opinion rankings are obtained by either re-ranking or filtering the documents of a first-pass retrieval of topic relevance.