This paper works on feature weighting approaches for naive Bayes text classifiers. Almost all
existing feature weighting approaches for naive Bayes text classifiers have some defects …

Automatic document sorting becomes increasingly important as handling and organizing
documents manually is a time consuming and not a viable solution on given the number of …

Naive Bayes (NB) continues to be one of the top 10 data mining algorithms due to its
simplicity, efficiency and efficacy. Of numerous proposals to improve the accuracy of naive …

Naive Bayes (NB) is one of the top 10 algorithms thanks to its simplicity, efficiency, and
interpretability. To weaken its attribute independence assumption, naive Bayes tree …

E-mail spam has become an increasingly important problem with a big economic impact in
society. Fortunately, there are different approaches allowing to automatically detect and …

With the recent advancement in the field of online services, the importance of a review for a
product has also gone up. In this paper we focus on the aspect of reducing the time and …

Context: The growing focus on ethics within SE, primarily due to the significant reliance of
individuals' lives on software and the consequential social and ethical considerations that …

A lot of research has been done on personality and sentiment analysis, demographic and
professional aspects using user shares in social networks. In particular, information …

The rise of unifying frameworks that enable seamless interoperability of Large Language
Models (LLMs) has made LLM-LLM collaboration for open-ended tasks a possibility. Despite …

Existing models for document summarization mostly use the similarity between sentences in
the document to extract the most salient sentences. The documents as well as the sentences …