Text processing and mining gained a lot of traction recently due to rising interest in
integration of Natural Language Processing with data analytics algorithms, in particular …

Following the recent increase in the amount of available data, Deep Learning has become
the most popular branch of Machine Learning. This trend can also be seen in Natural …

Machine learning methods can be used easily and quickly because of the rapid
development of technology, high hardware features and low price. However, these methods …

The number of texts has been remarkably increased with each passing day due to the rapid
development of technology. This situation creates a need for the development of new …

Identifying the authors of a given set of text is a well addressed and complicated task. It
requires thorough knowledge of different authors' writing styles and discriminating them. As …

Author identification is an important aspect of literary analysis, studied in natural language
processing (NLP). It aids identify the most probable author of articles, news texts or social …

Nowadays, the increasing amount of data has brought the need to classify the data. Text
classification is the process of categorizing similar text data. This paper aims to make a …

Text mining is one of the main and typical tasks of machine learning (ML). Authorship
identification (AI) is a standard research subject in text mining and natural language …

Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …

The amount of documentation which increasing in a proportional manner with the increasing
pace of technological development result the need for successful classification methods to …