Sentiment analysis or opinion mining is a deterministic technique for classifying and
evaluating other people's opinions. Nowadays, people build their perception and make …

In this paper, combining the spirit of twin hyperplanes with the fast speed of least squares
support vector regression (LSSVR) yields a new regressor, termed as twin least squares …

DSS serve the management, operations, and planning levels of an organization and help to
make decisions, which may be rapidly changing and not easily specified in advance. Data …

Background The number of porcine Single Nucleotide Polymorphisms (SNPs) used in
genetic association studies is very large, suitable for statistical testing. However, in breed …

In rotating machines, shaft and bearing are the critical components of interest for fault
diagnosis. In recent years, the application of machine learning for fault diagnosis is gaining …

Sounds based machine fault diagnosis recovers all the studies that aim to detect
automatically faults or damages on machines using the sounds emitted by these machines …

Term weighting is a useful technique that extracts important features from textual documents,
thereby providing a basis for different text mining approaches. While several term weighting …

Summarizing documents catering the needs of an user is tricky and challenging. Though
there are varieties of approaches, graphical methods have been quite popularly investigated …

Text classification plays a vital role in the organisation of the unceasing growth of digital
documents. High dimensionality of feature space is a major hassle in text classification …

As an important platform of electronic commerce, blogs can greatly influence internet users'
purchasing decisions. Spam, however, can substantially reduce blogs' positive impact on …