Long short-term memory neural networks have been proposed as a means of creating
accurate models from large time series data originating from various fields. These models …

Authorship attribution for less-resourced languages like Romanian, characterized by the
scarcity of large, annotated datasets and the limited number of available NLP tools, poses …

Being around for decades, the problem of Authorship Attribution is still very much in focus
currently. Some of the more recent instruments used are the pre-trained language models …

In the current digital world a lot of people actively participate in social media for
communication, interaction, and to share information. Users freely express their thoughts …

Advances in Natural Language Processing bring innovative instruments to the educational
field to improve the quality of the didactic process by addressing challenges like language …

Among modern classification methods, the support vector machine occupies a leading place
due to its strict theoretical validity. This method is used in the theory of pattern recognition, in …