Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …

Abstract The Threshold-based Naïve Bayes (Tb-NB) classifier is introduced as a (simple)
improved version of the original Naïve Bayes classifier. Tb-NB extracts the sentiment from a …

Objective: In recent years, natural language processing (NLP) techniques have progressed,
and their application in the medical field has been tested. However, the use of NLP to detect …

Abstract Natural Language Processing (NLP) based on new deep learning technology is
contributing to the emergence of powerful solutions that help healthcare providers and …

Abstract The iterative Threshold-based Naïve Bayes (iTb-NB) classifier is introduced as a
(simple) improved version of the previously introduced non-iterative Threshold-based Naïve …

Research on negation has generally explored the cross-linguistic similarities and
differences of a host of widely spoken languages with little attention to its nuances within …

PhD theses have received considerable attention over years, playing a crucial role for PhD
students to represent external realities and create writer-reader relations. To engage with …

The paper aims to unite two currently distinct ways of thinking about and working with
language. Large language models and continental philosophy, especially Martin …

Reasoning using negation is known to be difficult for transformer-based language models.
While previous studies have used the tools of psycholinguistics to probe a transformer's …

This paper delves into the striking parallels between the linguistic patterns of Large
Language Models (LLMs) and the concepts of psychosis in Lacanian psychoanalysis …