The different formats to encode information currently in use in sentiment analysis and opinion mining are heterogeneous and often
custom tailored to each application. Besides a number of existing standards, there are additionally still plenty of open challenges, such
as representing sentiment and emotion in web services, integration of different models of emotions or linking to other data sources. In
this paper, we motivate the switch to a linked data approach in sentiment and emotion analysis that would overcome these and other
current limitations. This paper includes a review of the existing approaches and their limitations, an introduction of the elements that
would make this change possible, and a discussion of the challenges behind that change.