The CLAUSY System at ESWC-2018 Challenge on Semantic Sentiment Analysis

With different social media and commercial platforms, users express
their opinion about products in a textual form. Automatically extracting the polarity(
i.e. whether the opinion is positive or negative) of a user can be useful for
both actors: the online platform incorporating the feedback to improve their product
as well as the client who might get recommendations according to his or her
preferences. Different approaches for tackling the problem, have been suggested
mainly using syntactic features. The “Challenge on Semantic Sentiment Analysis”
aims to go beyond the word-level analysis by using semantic information. In
this paper we propose a novel approach by employing the semantic information of
grammatical unit called preposition.We try to dreive the target of the review from
the summary information, which serves as an input to identify the proposition in
it. Our implementation relies on the hypothesis that the proposition expressing
the target of the summary, usually containing the main polarity information.
1 Introduction