With the increasing availability of electronic documents and the rapid growth of the World
Wide Web, the task of automatic categorization of documents became the key method for …

Aspect-based sentiment analysis (ABSA) is a natural language processing task that
provides a detailed analysis of clients' opinions about various aspects of a product or …

Sentiment analysis is an important research direction of natural language processing, text
mining and web mining which aims to extract subjective information in source materials. The …

Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

The behaviour of time series data from financial markets is influenced by a rich mixture of
quantitative information from the dynamics of the system, captured in its past behaviour, and …

The main ingredients underlying this approach are efficient automatic theorem provers that
can cope with hundreds of axioms, suitable translations of the proof assistant's logic to the …

Web page classification is an important research direction on web mining. The abundant
amount of data available on the web makes it essential to develop efficient and robust …

In today's cyber world, the demand for the internet is increasing day by day, increasing the
concern of network security. The aim of an Intrusion Detection System (IDS) is to provide …

This paper comparatively analyzes a method to automatically classify case studies of
building information modeling (BIM) in construction projects by BIM use. It generally takes a …

Regression model-based electrical load anomaly detection shows great potential to improve
the quality of demand side management (DSM) because the load prediction and detection …