To understand diverse natural language commands, virtual assistants today are trained with
numerous labor-intensive, manually annotated sentences. This paper presents a …

E-commerce websites produce a large number of online reviews, posts, and comments
about a product or service. These reviews are used to assist consumers in buying or …

Web applications are regarded as a popular platform to exchange information with users.
These applications have to be able to process Big-Data quickly and to serve users in a …

Loyal customers play an important role in every store's success. They tend to buy regularly
and help stabilize incomes. Being able to identify potential repeat buyers allows marketers …

Sentiment analysis (also called opinion mining) is one of the widely used research fields of
natural language processing. E-commerce service providers use this technique to analyze …

This article presents a new conceptual approach for the interpretative topic modeling
problem. It uses sentences as basic units of analysis, instead of words or n-grams, which are …

The abundance of user generated content on social media provides the opportunity to build
models that are able to accurately and effectively extract, mine and predict users' interests …

Web-based applications are a well-known platform to exchange information between
Internet-users. However, in this modern world, the processing of huge information or Big …

In this study, we propose a scalable approach for automatically identifying similar candidate
instance pairs in very large datasets. Efficient candidate pair generation is an essential to …

The personalized experience gets more and more attention these days. Many e-commerce
businesses are looking for methods to deliver personalized service. Consumers are …