This paper synthesises research on artificial intelligence (AI) in e-commerce and proposes
guidelines on how information systems (IS) research could contribute to this research …

With advanced digitalisation, we can observe a massive increase of user-generated content
on the web that provides opinions of people on different subjects. Sentiment analysis is the …

Internet forums and public social media, such as online healthcare forums, provide a
convenient channel for users (people/patients) concerned about health issues to discuss …

Nowadays, the development of new computer-based technologies has led to rapid increase
in the volume of user-generated textual content on the website. Patient-written medical and …

In the task of text sentiment analysis, the main problem that we face is that the traditional
word vectors represent lack of polysemy, the Recurrent Neural Network cannot be trained in …

The emergence of various e-commerce sites has led to an increase in review sites for
various services and products. People nowadays easily get information about products and …

With the proliferation of user-generated content on the web, sentiment analysis of text has
become a current research hotspot. Aspect-based sentiment analysis (ABSA) is a type of …

We propose a sentiment classification method for large scale microblog text based on the
attention mechanism and the bidirectional long short-term memory network (SC-ABiLSTM) …

There is no doubt that the issue of making a good prediction about a company's possible
failure is very important, as well as complicated. A number of models have been created for …

Accurately forecasting the energy price has increasingly attracted attention of researchers. A
novel hybrid forecasting model, termed as ICEEMDAN-R-AttGRU, is for the first time …