DecOp is composed of both truthful and deceptive first-person opinions about five different domains, is compiled in two different languages and has been developed for allowing several kinds of classification experiments.
beyond the more usual withindomain classification task, DecOp allows cross-domain, author-based and cross-language classification tasks.