Multinomial naive Bayes (MNB) assumes that all attributes (ie, features) are independent of
each other given the context of the class, and it ignores all dependencies among attributes …

In the context of information retrieval (IR) from text documents, the term weighting scheme
(TWS) is a key component of the matching mechanism when using the vector space model …

The term frequency {inverse document frequency (TF-IDF) weighting sch-eme is widely used
in text classi cation for weighting the features of the vector space model (VSM). It aims at …

Computational Intelligence (CI) techniques have been widely employed in information
retrieval (IR). CI approaches include everything from evolutionary computation and …

The documents similarity metric is a substantial tool applied in areas such as determining
topic in relation to documents, plagiarism detection, or problems necessary to capture the …

With the advent of neural networks and its subfields like deep neural networks and
convolutional neural networks, it is possible to make text classification predictions with high …

In many contexts of Information Retrieval (IR), term weights play an important role in
retrieving the relevant documents responding to users' queries. The term weight measures …

As the information era progresses, the sheer volume of information calls for sophisticated
retrieval systems. Evaluating them holds the key to ensuring the reliability and relevance of …

Abstract Information retrieval (IR) methodologies, empowered by computational intelligence
(CI), hold a pivotal role across diverse research domains. CI encompasses a broad …

Searching information by keywords is a simple and effective method used for a long time.
Unfortunately, its usefulness is not well exploited in certain contexts. Indeed, in the case of …