Sentiment Analysis (SA), also called Opinion Mining, is currently one of the most studied
research fields. It aims to analyze people's sentiments, opinions, attitudes, emotions, etc …

The objective of this paper is to present a comprehensive review of the contemporary
techniques for fault detection, diagnosis, and prognosis of rolling element bearings (REBs) …

Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …

Twitter sentiment analysis has become a hot research topic in recent years. Most of existing
solutions to Twitter sentiment analysis basically only consider textual information of Twitter …

The new transformed read-write Web has resulted in a rapid growth of user generated
content on the Web resulting into a huge volume of unstructured data. A substantial part of …

Customer's experience is one of the important concern for airline industries. Twitter is one of
the popular social media platform where flight travelers share their feedbacks in the form of …

In e-commerce websites and related micro-blogs, users supply online reviews expressing
their preferences regarding various items. Such reviews are typically in the textual …

Fault diagnosis is essentially a kind of pattern recognition. The measured signal samples
usually distribute on nonlinear low-dimensional manifolds embedded in the high …

Companies are realising the potential value of data to gain insight into their customers and
the power of analytics to guide decision-making. While many firms have invested in data …

Compared to consumer lending, Micro, Small and Medium Enterprise (mSME) credit risk
modelling is particularly challenging, as, often, the same sources of information are not …