Russian News Opinion Mining: New Dataset & Extraction Methods

russian-news-opinion-mining:-new-dataset-&-extraction-methods

This is a Plain English Papers summary of a research paper called Russian News Opinion Mining: New Dataset & Extraction Methods. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.

Overview

  • New dataset and task for extracting opinion information from Russian news texts
  • Focuses on identifying opinion holders, targets, and sentiment expressions
  • Part of ongoing research in sentiment analysis and opinion mining
  • Built on RuSentNE corpus of annotated Russian news articles
  • Dataset includes 7,447 manually annotated opinion tuples

Plain English Explanation

The research introduces a new way to analyze opinions in Russian news articles. The system looks for three key pieces: who expressed the opinion, what they’re talking about, and how they feel about it. Think of it like breaking down a sentence “President Smith criticized the ne…

Click here to read the full summary of this paper

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