semeval22_structured_sentiment | SemEval-2022 Shared Task 10 : Structured Sentiment Analysis | Application Framework library

semeval22_structured_sentiment is a Python library typically used in Server, Application Framework applications. semeval22_structured_sentiment has no bugs, it has no vulnerabilities and it has low support. However semeval22_structured_sentiment build file is not available. You can download it from GitHub.

The task is to predict all structured sentiment graphs in a text (see the examples below). We can formalize this as finding all the opinion tuples O = Oi,...,On in a text. Each opinion Oi is a tuple (h, t, e, p). where h is a holder who expresses a polarity p towards a target t through a sentiment expression e, implicitly defining the relationships between the elements of a sentiment graph. The two examples below (first in English, then in Basque) give a visual representation of these sentiment graphs. Participants can then either approach this as a sequence-labelling task, or as a graph prediction task.