Recent research on Big Data proposed and evaluated a number of advanced techniques to
gain meaningful information from the complex and large volume of data available on the …

Text classification is a very important area in information retrieval. Text classification
techniques used to classify documents into a set of predefined categories. There are several …

Text mining and sentiment analysis have been the focus of research due to the increasing
availability of opinion data on social networking websites. Current researches dealing with …

Text classification is an important topic. The number of electronic documents available on
line is massive. Text classification aims to classify documents into a set of predefined …

Text categorization is the process of assigning a predefined category label to an unlabeled
document based on its content. One of the challenges of automatic text categorization is the …

The automatic detection of emotions in textual parts of social media websites such as
Facebook and Twitter has applications for business development, user interface design …

Arabic Text Classification Algorithm using TFIDF and Chi Square Measurements Page 1
International Journal of Computer Applications (0975 – 8887) Volume 93 – No 6, May 2014 40 …

As a result of the continuous growth in the amount of geological data, machine learning (ML)
offers an opportunity to contribute to solving problems in geosciences. However, digital …

Text classification is a process of classifying textual contents to a set of predefined classes
and categories. As enormous numbers of documents and contextual contents are introduced …

Text classification is one of the methods used for managing, organising and retrieving the
needed data among the huge available text. Several methods have been proposed to …