Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

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 …

The explanation interface has been recognized important in recommender systems as it can
help users evaluate recommendations in a more informed way for deciding which ones are …

In this paper, we conducted a tweet sentiment analysis of the 2020 US Presidential Election
between Donald Trump and Joe Biden. Specially, we identified the Multi-Layer Perceptron …

Knowledge workers often need to extract and analyze information from a collection of
documents to solve complex information tasks in the workplace, eg, hiring managers …

Purpose The purpose of this study is to develop the dictionary with grammar and multiword
structure has to be used in conjunction with sentiment analysis to investigate the relationship …

The explanation interface has been recognized as important in recommender systems
because it can allow users to better judge the relevance of recommendations to their …

While there is an enormous amount of information online for making decisions such as
choosing a product, restaurant, or school, it can be costly for users to synthesize that …

With the increasing demand for predictable and accountable Artificial Intelligence, the ability
to explain or justify recommender systems results by specifying how items are suggested, or …

A product search service in an e-Procurement Marketplace can help the suppliers to find the
best suitable tenders according to their products. Various possible ways to define and …