Texts can convey several types of inter-related information concerning opinions and attitudes. Such information includes the author's attitude towards mentioned entities, attitudes of the entities towards each other, positive and negative effects on the entities in the described situations. In this paper, we described the lexicon RuSentiFrames for Russian, where predicate words and expressions are collected and linked to so-called sentiment frames conveying several types of presupposed information on attitudes and effects. We applied the created frames in the task of extracting attitudes from a large news collection.
Sentiment Frames for Attitude Extraction in Russian
A lexicon named RuSentiFrames was developed for Russian, consisting of predicates linked to sentiment frames, which was then used to extract attitudes from news.
- Year
- 2020
- Venue
- arXiv 2020
- Authors
- 2
- Hosting
- Abstract onlyARXIV-DEFAULT
Cite
Notes
Only stored in your browser.
Attribution
- Abstract & full text
- arxiv.org/abs/2006.10973ARXIV-DEFAULT
- TL;DR
- Semantic Scholar