activity
20172025
most citedMassively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark

3 citations · 6 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SI2025

Mapping Technological Futures: Anticipatory Discourse Through Text Mining

Maciej Skorski, Alina Landowska, Krzysztof Rajda

The volatility and unpredictability of emerging technologies, such as artificial intelligence (AI), generate significant uncertainty, which is widely discussed on social media. Thi…

cs.CL20233 cited

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…

cs.CL2022

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…

cs.CL20201 cited

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…

cs.CL20172 cited

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…