There has been ever-growing use of Internet and progress within many communication
channels such as social media and this escalates the need for rapid and low source …

Medical text classification is mostly carried out on English data sets. The limited number of
studies in Turkish is due to the compelling morphological structure of Turkish for natural …

While preeclampsia is the leading cause of maternal death in Guayas province (Ecuador),
its causes have not yet been studied in depth. The objective of this research is to build a …

Supervised disambiguation using a large amount of corpus data delivers better performance
than other word sense disambiguation methods. However, it is not easy to construct large …

This paper proposes a new method of dimensionality reduction when performing Text
Classification, by applying the discrete wavelet transform to the document-term frequencies …

Mental lexicon extraction has important theoretical and practical significance in legal case
judgment; however, mental lexicon cannot be extracted in time and effectively. Therefore …