The rapid advancement of artificial intelligence (AI) offers exciting opportunities for
marketing practice and academic research. In this study, through the application of natural …

As remote work has become more common than ever throughout the COVID-19 pandemic, it
has drawn special attention from scholars. However, the outcome has been significantly …

Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …

In this paper, we present the first deep learning approach to aspect extraction in opinion
mining. Aspect extraction is a subtask of sentiment analysis that consists in identifying …

Lifelong Machine Learning, Second Edition is an introduction to an advanced machine
learning paradigm that continuously learns by accumulating past knowledge that it then …

With the increasing development of Web 2.0, such as social media and online businesses,
the need for perception of opinions, attitudes, and emotions grows rapidly. Sentiment …

How can a single person understand what's going on in a collection of millions of
documents? This is an increasingly common problem: sifting through an organization's e …

Statistical models of text have become increasingly popular in statistics and computer
science as a method of exploring large document collections. Social scientists often want to …

Sentiment analysis and opinion mining is the field of study that analyzes people's opinions,
sentiments, evaluations, attitudes, and emotions from written language. It is one of the most …

In recent years, fully automated content analysis based on probabilistic topic models has
become popular among social scientists because of their scalability. However, researchers …