Web scra** is a technique to extract information from various web documents
automatically. It retrieves the related contents based on the query, aggregates and …

Classification tasks are usually analysed and improved through new model architectures or
hyperparameter optimisation but the underlying properties of datasets are discovered on an …

PU learning occurs frequently in Web pages classification and text retrieval applications
because users may be interested in information on the same topic. Collecting reliable …

Background: Text classification is a very important task in information retrieval. Its objective
is to classify new text documents in a set of predefined classes, using different supervised …

Text classification is a fundamental task in natural language processing, notably in the
context of digital libraries, where it is essential for organizing and retrieving large numbers of …

This paper deals with the classification of news items in ePaper, a prototype system of a
future personalized newspaper service on a mobile reading device. The ePaper system …

This paper describes a character-based system called" Emotion Sensitive News
Agent"(ESNA). ESNA is been developed as a news aggregator to fetch news from different …

Text classification is an essential work in text mining and information retrieval. There are a
lot of algorithms developed aiming to classify computational data and most of them are …

Text classification is a fundamental task in natural language processing, and has been
widely studied for various languages. However, Arabic text classification is challenging due …

The delivery of personalized news content depends on the ability to predict user interests.
We evaluated different methods for acquiring user profiles based on declared and actual …