Sentiment analysis is one of the major tasks of natural language processing, in which
attitudes, thoughts, opinions, or judgments toward a particular subject has been extracted …

Named entity recognition aims to detect pre-determined entity types in unstructured text.
There is a limited number of studies on this task for low-resource languages such as Turkish …

Having sufficient resources for language X lifts it from the under-resourced languages class,
but not necessarily from the under-researched class. In this paper, we address the problem …

Duygu analizi (görüş madenciliği), metin belgeleri içerisinde yer alan nesnelere, ürünlere,
servislere ya da organizasyonlara ilişkin görüş, duygu, tutum gibi öznel bilgilerin, makine …

The book is a unique collection of studies involving intelligent systems and applications of
artificial intelligence in the real world to provide solutions to most vexing problems. IntelliSys …

In the era of big data, natural language processing becomes an important research
discipline, owing to the immense quantity of text documents and the progresses in machine …

With deep learning being used in natural language processing problems, there have been
serious improvements in the solution of many problems in this area. Sequence labeling is …

Transformer-based language models such as BERT (and its optimized versions) have
outperformed previous models, achieving state-of-the-art results on many English …

The newspaper emerged as a distinct cultural form in early 17th-century Europe. It is bound
up with the early modern period of history. Historical newspapers are of utmost importance …

Automatically extracting critical information from voluminous legal instruments can
significantly enhance judges' efficiency in handling cases and foster the development of …