In order to investigate the key attributes of casino hotel customer eWOM and their structural
relationships, this study selects two casino hotels located in Las Vegas and Macao. Through …

Recently, the proposed non-parametric Bayesian based techniques which aim to model
short-length textual documents through the multinomial distribution on the bag-of-words …

Text clustering is a method for separating specific information from textual data and can
even classify text according to topic and sentiment, which has drawn much interest in recent …

Kernel nonnegative matrix factorization (KNMF) has emerged as a promising nonlinear data
representation method, especially for applications with small sample sizes. Existing methods …

Extracting knowledge from unlabeled texts using machine learning algorithms can be
complex. Document categorization and information retrieval are two applications that may …

There is a lot of data and information that exists all around us. With the increase in data
around us, it is essential to find a way to retrieve and organize the data in an efficient …

This paper aiming at the problems of scattered operation types, poor extraction effect of
learning resources and incomplete assignment of learning tasks in the online language …

Novelty detection (ND) is a crucial task in machine learning to identify anomalies in the test
data in some respects different from the training data. As an anomaly detection method …

It is easy and beneficial to use low-rank matrix approximation techniques in collaborative
filtering systems. Model of this kind is often fit by obtaining MAP estimates of parameters, a …

As science and technology progress and develop rapidly in this day and age, various
industry applications have changed the data in a new way, and the explosive growth of data …