Sentiment analysis is the task of classifying the polarity of a given text.
The RuSentRel dataset consisted of analytical articles from Internet-portal inosmi.ru. These are translated into Russian texts in the domain of international politics obtained from foreign authoritative sources. The collected articles contain both the author’s opinion on the subject matter of the article and a large number of references mentioned between the participants of the described situations. The dataset contains 73 large analytical texts, labeled with about 2000 relations.
Sentiment Attitude Extraction task: Given a subset of documents, in which every document includes: (1) text, (2) a list of mentioned named entities. For each document it is required to complete a list of labeled entity pairs [(s1->o1, l1), … (sn->on, ln)], for which text conveys the presence of the sentiment relation expressed by the subject towards the object (si->oi) with sentiment li ∈ [neg, pos] (see the example below).
Task paper: https://arxiv.org/pdf/1808.08932.pdf
The public leaderboard is available at github repository
|… Meanwhile has repeatedly emphasized that its activity in the is a response precisely to actions of and the escalation of the hostile approach to near its eastern borders …|
|(NATO->Russia, neg), (Russia->NATO, neg)|