Since Turkish is an agglutinative language and contains reduplication, idiom, and metaphor
words, Turkish texts are sources of information with extremely rich meanings. For this …

Today, extreme amounts of data are produced, and this is commonly referred to as Big Data.
A significant amount of big data is composed of textual data, and as such, text processing …

TF‐IDF (term frequency‐inverse document frequency) is one of the traditional text similarity
calculation methods based on statistics. Because TF‐IDF does not consider the semantic …

Breast cancer is a malignant tumor with the highest incidence rate in women. Current
diagnostic methods are time-consuming, costly, and dependent on physician experience. In …

The growth in textual data associated with the increased usage of online services and the
simplicity of having access to these data has resulted in a rise in the number of text …

Effective learning schemes such as fine-tuning, zero-shot, and few-shot learning, have been
widely used to obtain considerable performance with only a handful of annotated training …

Text classification is the process of determining categories or tags of a document depending
on its content. Although text classification is a well‐known process, it has many steps that …

Text classification is the process of determining categories or tags of a document depending
on its content. Although it is a well-known process, it has many steps that require tuning to …

Complex dynamics of stock market could be attributed to various factors ranging from
company's financial ratios to investors' sentiment and reaction to Financial news. The paper …

As a well-known Natural Language Processing (NLP) task, text classification can be defined
as the process of categorizing documents depending on their content. In this process …