Abstract
In this paper we study the task of extracting sentiment attitudes from analytical texts. We experiment with the RuSentRel corpus containing annotated Russian analytical texts in the sphere of international relations. Each document in the corpus is annotated with sentiments from the author to mentioned named entities, and attitudes between mentioned entities. We consider the problem of extracting sentiment relations between entities for the whole documents as a three-class machine learning task.
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Rusnachenko, N., & Loukachevitch, N. (2018). Sentiment attitudes and their extraction from analytical texts. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11107 LNAI, pp. 41–49). Springer Verlag. https://doi.org/10.1007/978-3-030-00794-2_4
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