The number of online documents has rapidly grown, and with the expansion of the Web,
document analysis, or text analysis, has become an essential task for preparing, storing …

Brand image is comprehended in consumers' mind through favourability, strength, and
uniqueness of brand associations. In this paper, a model is proposed to quantify Online …

Short message service (SMS) is a most favored communication service people use in daily
life. However, this service is being misused by spammers. Rule based systems (RBS) and …

The wide adoption of media and social media has increased the amount of digital content to
an enormous level. Natural language processing (NLP) techniques provide an opportunity …

Non-negative matrix factorization (NMF) is a dimension reduction method that extracts
semantic features from high-dimensional data. Most of the developed optimization methods …

Clustering short text streams is a challenging task due to its unique properties: infinite
length, sparse data representation and cluster evolution. Existing approaches often exploit …

With the development of manufacturing customization, unified manufacturing service
recommendation is difficult to meet the customer's individualized demand. To this end, the …

Clustering short texts are one of the most important text analysis methods to help extract
knowledge from online social media platforms, such as Twitter, Facebook, and Weibo …

Coal chemical enterprises have many risk factors, and the causes of accidents are complex.
The traditional risk assessment methods rely on expert experience and previous literature to …

Purpose The purpose of this paper is to explore to which extent the quality of social media
short text without extensions can be investigated and what are the predictors, if any, of such …