3 citations · 7 across the 8 of their papers we have counts for
6 papers · 1 filter
Electoral Agitation Data Set: The Use Case of the Polish Election
Mateusz Baran, Mateusz Wójcik, Piotr Kolebski +4
The popularity of social media makes politicians use it for political advertisement. Therefore, social media is full of electoral agitation (electioneering), especially during the…
Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark
Łukasz Augustyniak, Szymon Woźniak, Marcin Gruza +4
Despite impressive advancements in multilingual corpora collection and model training, developing large-scale deployments of multilingual models still presents a significant challe…
Does Twitter know your political views? POLiTweets dataset and semi-automatic method for political leaning discovery
Joanna Baran, Michał Kajstura, Maciej Ziółkowski +1
Every day, the world is flooded by millions of messages and statements posted on Twitter or Facebook. Social media platforms try to protect users' personal data, but there still is…
Assessment of Massively Multilingual Sentiment Classifiers
Krzysztof Rajda, Łukasz Augustyniak, Piotr Gramacki +3
Models are increasing in size and complexity in the hunt for SOTA. But what if those 2\% increase in performance does not make a difference in a production use case? Maybe benefits…
Political Advertising Dataset: the use case of the Polish 2020 Presidential Elections
Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz +1
Political campaigns are full of political ads posted by candidates on social media. Political advertisements constitute a basic form of campaigning, subjected to various social req…
Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis
Łukasz Augustyniak, Krzysztof Rajda, Tomasz Kajdanowicz
This paper fills a gap in aspect-based sentiment analysis and aims to present a new method for preparing and analysing texts concerning opinion and generating user-friendly descrip…