Caracterización de una entidad basada en opiniones: un estudio de caso

We introduce the opinion-based entity profiling task, understood as the automatic grouping of equivalent or very similar online opinions (both positive and negative) about an entity. This is a highly practical problem that arises in the context of online reputation management, but it has not been directly addressed by any Natural Language Processing evaluation campaign or specific benchmarking corpus. We use a case study to illustrate the challenges of the task, and we provide an initial baseline based on the Lingo clustering algorithm.