This report examines Artificial Intelligence (AI) in the financial sector, outlining its potential to
revolutionise the industry and identify its challenges. It underscores the criticality of a well …

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 …

The automatic processing of microblogging messages may be problematic, even in the case
of very elementary operations such as tokenization. The problems arise from the use of non …

Tokenization is one of the essential and fundamental tasks in natural language processing.
Despite the recent advances in applying unsupervised statistical methods for this task, every …

The successful application of innovation methods for multidisciplinary and decentralized
team work is a decisive success factor for organizations. One approach that pursues this …

An SMS spam is the message that hackers develop and send to people via mobile devices
targeting to get their important information. For people who are ignorant, if they follow the …

Named Entity Recognition (NER) from text constitutes the first step in many text mining
applications. The most important preliminary step for NER systems using machine learning …

The application of Natural Language Processing (NLP) to specialized domains, such as the
law, has recently received a surge of interest. As many legal services rely on processing and …

Large-scale grammar-based parsing systems nowadays increasingly rely on independently
developed, more specialized components for pre-processing their input. However, different …

A part des domaines comme la psycholinguistique, la phonétique et la phonologie, une
bonne partie de la recherche linguistique ne suppose pas d'instrument particulier. C'est en …