201 citations · 724 across the 34 of their papers we have counts for
5 papers · 1 filter
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…
Spatio-temporal profiling of public transport delays based on large scale vehicle positioning data from GPS in Wrocław
Piotr Szymański, Michał Żołnieruk, Piotr Oleszczyk +2
In recent years many studies of urban mobility based on large data sets have been published: most of them based on crowdsourced GPS data or smart-card data. We present, what is to…
A Network Perspective on Stratification of Multi-Label Data
Piotr Szymański, Tomasz Kajdanowicz
In the recent years, we have witnessed the development of multi-label classification methods which utilize the structure of the label space in a divide and conquer approach to impr…
Is a Data-Driven Approach still Better than Random Choice with Naive Bayes classifiers?
Piotr Szymański, Tomasz Kajdanowicz
We study the performance of data-driven, a priori and random approaches to label space partitioning for multi-label classification with a Gaussian Naive Bayes classifier. Experimen…
A scikit-based Python environment for performing multi-label classification
Piotr Szymański, Tomasz Kajdanowicz
scikit-multilearn is a Python library for performing multi-label classification. The library is compatible with the scikit/scipy ecosystem and uses sparse matrices for all internal…