The resource constitues of a hierarchically-structured system of data types, which is intended to be suitable for describing the inputs and output annotation types of a wide range of natural language processing applications which operate within the UIMA Framework. It is being developed in conjunc...

VISTA@UE-SA is a freely available on-line service for the sentiment analysis of short sentences (tweets) in Portuguese. This service was developed and is maintained at the University of Evora by the VISTA - Video, Image, Speech, and Text Analysis Group of the Department of Informatics.