The spectacular increasing of Data is due to the appearance of networks and smartphones. Amount 42% of world population using internet [1]; have created a problem related of the processing of the data exchanged, which ...

Text mining is an important step to categorize textual data by using data mining techniques. As most obtained textual data is unstructured, it needs to be processed before applying mining algorithms – that process is known ...

The amount of textual information digitally stored is growing every day. However, our capability of processing and analyzing that information is not growing at the same pace. To overcome this limitation, it is important ...

Big Data is a term used to characterize the growing volume of existing data on different topics, whether they are biomedical or not. The enormous volume of biological and biomedical data generated daily, one of the main ...

The task of mining large unstructured text archives, extracting useful patterns and then organizing them into a knowledgebase has attained a great attention due to its vast array of immediate applications in business. ...

This paper presents a study on the classification of textual data sets using machine learning algorithms through the WEKA platform. It presents an overview of the interpretation of language in texts, characteristics and ...

Today online social networks seem to be good tools to quicklymonitor what is going on with the population, since they provideenvironments where users can freely share large amounts of infor-mation related to their own ...